{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Owner\Dropbox\Side Projects\Coauthored\Religion_Friday_Prayer\Analysis\Replication\WVS_Log.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 7 Mar 2022, 12:15:18

{com}. do "C:\Users\mhoffma5\AppData\Local\Temp\STD8e4_000000.tmp"
{txt}
{com}. use "BJPS_WVS_Data.dta", clear
{txt}
{com}. 
. 
. 
. 
. *** FIGURE A9
. *** TRUST OTHER REL  
. reg TrustOtherRel i.Friday##i.Weekly i.S003 X025R X003 X001 PrayDaily Unemployed i.S002 [pweight=S017]
{txt}(sum of wgt is 30,410.6024186304)

Linear regression                               Number of obs     = {res}    30,501
                                                {txt}{help j_robustsingular:F(55, 30439) }     =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0884
                                                {txt}Root MSE          =    {res}   .458

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}            TrustOtherRel{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}1.Friday {c |}{col 27}{res}{space 2} .0014094{col 39}{space 2} .0108606{col 50}{space 1}    0.13{col 59}{space 3}0.897{col 67}{space 4}-.0198779{col 80}{space 3} .0226967
{txt}{space 25} {c |}
{space 19}Weekly {c |}
{space 10}Attends Weekly  {c |}{col 27}{res}{space 2}-.0033099{col 39}{space 2} .0071085{col 50}{space 1}   -0.47{col 59}{space 3}0.641{col 67}{space 4}-.0172429{col 80}{space 3} .0106231
{txt}{space 25} {c |}
{space 12}Friday#Weekly {c |}
{space 8}1#Attends Weekly  {c |}{col 27}{res}{space 2}-.0243964{col 39}{space 2} .0160498{col 50}{space 1}   -1.52{col 59}{space 3}0.129{col 67}{space 4}-.0558546{col 80}{space 3} .0070618
{txt}{space 25} {c |}
{space 21}S003 {c |}
{space 10}31. Azerbaijan  {c |}{col 27}{res}{space 2}-.3365428{col 39}{space 2} .1461267{col 50}{space 1}   -2.30{col 59}{space 3}0.021{col 67}{space 4}-.6229572{col 80}{space 3}-.0501284
{txt}{space 11}32. Argentina  {c |}{col 27}{res}{space 2}  .239605{col 39}{space 2} .1450114{col 50}{space 1}    1.65{col 59}{space 3}0.098{col 67}{space 4}-.0446235{col 80}{space 3} .5238335
{txt}{space 11}36. Australia  {c |}{col 27}{res}{space 2} .2568155{col 39}{space 2} .1520769{col 50}{space 1}    1.69{col 59}{space 3}0.091{col 67}{space 4}-.0412616{col 80}{space 3} .5548926
{txt}{space 10}50. Bangladesh  {c |}{col 27}{res}{space 2} -.372894{col 39}{space 2} .1455111{col 50}{space 1}   -2.56{col 59}{space 3}0.010{col 67}{space 4}-.6581018{col 80}{space 3}-.0876862
{txt}{space 13}51. Armenia  {c |}{col 27}{res}{space 2}-.6726967{col 39}{space 2} .1451166{col 50}{space 1}   -4.64{col 59}{space 3}0.000{col 67}{space 4}-.9571313{col 80}{space 3}-.3882621
{txt}{space 14}76. Brazil  {c |}{col 27}{res}{space 2}   .29038{col 39}{space 2} .1452823{col 50}{space 1}    2.00{col 59}{space 3}0.046{col 67}{space 4} .0056206{col 80}{space 3} .5751393
{txt}{space 12}104. Myanmar  {c |}{col 27}{res}{space 2} .1302147{col 39}{space 2} .1573494{col 50}{space 1}    0.83{col 59}{space 3}0.408{col 67}{space 4}-.1781968{col 80}{space 3} .4386262
{txt}{space 14}156. China  {c |}{col 27}{res}{space 2}-.3303541{col 39}{space 2} .1682367{col 50}{space 1}   -1.96{col 59}{space 3}0.050{col 67}{space 4}-.6601052{col 80}{space 3} -.000603
{txt}{space 13}196. Cyprus  {c |}{col 27}{res}{space 2}-.3333303{col 39}{space 2} .1457805{col 50}{space 1}   -2.29{col 59}{space 3}0.022{col 67}{space 4}-.6190663{col 80}{space 3}-.0475944
{txt}{space 11}231. Ethiopia  {c |}{col 27}{res}{space 2}-.1475909{col 39}{space 2} .1468999{col 50}{space 1}   -1.00{col 59}{space 3}0.315{col 67}{space 4}-.4355208{col 80}{space 3}  .140339
{txt}{space 12}268. Georgia  {c |}{col 27}{res}{space 2} .2609894{col 39}{space 2} .1510127{col 50}{space 1}    1.73{col 59}{space 3}0.084{col 67}{space 4}-.0350019{col 80}{space 3} .5569806
{txt}{space 10}275. Palestine  {c |}{col 27}{res}{space 2}-.4645491{col 39}{space 2} .1456191{col 50}{space 1}   -3.19{col 59}{space 3}0.001{col 67}{space 4}-.7499686{col 80}{space 3}-.1791296
{txt}{space 12}276. Germany  {c |}{col 27}{res}{space 2}    .0704{col 39}{space 2} .1560041{col 50}{space 1}    0.45{col 59}{space 3}0.652{col 67}{space 4}-.2353745{col 80}{space 3} .3761745
{txt}{space 14}288. Ghana  {c |}{col 27}{res}{space 2} -.016905{col 39}{space 2} .1513425{col 50}{space 1}   -0.11{col 59}{space 3}0.911{col 67}{space 4}-.3135426{col 80}{space 3} .2797327
{txt}{space 13}300. Greece  {c |}{col 27}{res}{space 2}-.2363597{col 39}{space 2} .1842952{col 50}{space 1}   -1.28{col 59}{space 3}0.200{col 67}{space 4}-.5975861{col 80}{space 3} .1248666
{txt}{space 10}320. Guatemala  {c |}{col 27}{res}{space 2} .2527503{col 39}{space 2} .1449981{col 50}{space 1}    1.74{col 59}{space 3}0.081{col 67}{space 4}-.0314521{col 80}{space 3} .5369528
{txt}{space 6}344. Hong Kong SAR  {c |}{col 27}{res}{space 2} .0060901{col 39}{space 2} .3073332{col 50}{space 1}    0.02{col 59}{space 3}0.984{col 67}{space 4}-.5962958{col 80}{space 3} .6084761
{txt}{space 10}360. Indonesia  {c |}{col 27}{res}{space 2} -.372615{col 39}{space 2} .1453231{col 50}{space 1}   -2.56{col 59}{space 3}0.010{col 67}{space 4}-.6574545{col 80}{space 3}-.0877756
{txt}{space 15}364. Iran  {c |}{col 27}{res}{space 2}-.0384423{col 39}{space 2} .1453573{col 50}{space 1}   -0.26{col 59}{space 3}0.791{col 67}{space 4}-.3233488{col 80}{space 3} .2464641
{txt}{space 15}368. Iraq  {c |}{col 27}{res}{space 2}-.2746048{col 39}{space 2} .1452467{col 50}{space 1}   -1.89{col 59}{space 3}0.059{col 67}{space 4}-.5592944{col 80}{space 3} .0100848
{txt}{space 9}398. Kazakhstan  {c |}{col 27}{res}{space 2}-.2799551{col 39}{space 2} .1454279{col 50}{space 1}   -1.93{col 59}{space 3}0.054{col 67}{space 4}-.5649999{col 80}{space 3} .0050896
{txt}{space 13}400. Jordan  {c |}{col 27}{res}{space 2}-.1678538{col 39}{space 2} .1455698{col 50}{space 1}   -1.15{col 59}{space 3}0.249{col 67}{space 4}-.4531768{col 80}{space 3} .1174692
{txt}{space 9}417. Kyrgyzstan  {c |}{col 27}{res}{space 2}-.4624594{col 39}{space 2} .1456286{col 50}{space 1}   -3.18{col 59}{space 3}0.001{col 67}{space 4}-.7478977{col 80}{space 3}-.1770212
{txt}{space 12}422. Lebanon  {c |}{col 27}{res}{space 2}-.2289778{col 39}{space 2} .1459841{col 50}{space 1}   -1.57{col 59}{space 3}0.117{col 67}{space 4}-.5151128{col 80}{space 3} .0571573
{txt}{space 10}446. Macau SAR  {c |}{col 27}{res}{space 2}-.7115223{col 39}{space 2} .1448964{col 50}{space 1}   -4.91{col 59}{space 3}0.000{col 67}{space 4}-.9955253{col 80}{space 3}-.4275193
{txt}{space 11}458. Malaysia  {c |}{col 27}{res}{space 2}-.1980901{col 39}{space 2} .1459529{col 50}{space 1}   -1.36{col 59}{space 3}0.175{col 67}{space 4}-.4841639{col 80}{space 3} .0879838
{txt}{space 13}484. Mexico  {c |}{col 27}{res}{space 2} .3249774{col 39}{space 2} .1449668{col 50}{space 1}    2.24{col 59}{space 3}0.025{col 67}{space 4} .0408364{col 80}{space 3} .6091185
{txt}{space 12}504. Morocco  {c |}{col 27}{res}{space 2}-.3713596{col 39}{space 2} .1457526{col 50}{space 1}   -2.55{col 59}{space 3}0.011{col 67}{space 4}-.6570408{col 80}{space 3}-.0856784
{txt}{space 8}528. Netherlands  {c |}{col 27}{res}{space 2}-.1258711{col 39}{space 2} .1735949{col 50}{space 1}   -0.73{col 59}{space 3}0.468{col 67}{space 4}-.4661244{col 80}{space 3} .2143822
{txt}{space 8}554. New Zealand  {c |}{col 27}{res}{space 2}  .108922{col 39}{space 2} .2144778{col 50}{space 1}    0.51{col 59}{space 3}0.612{col 67}{space 4}-.3114635{col 80}{space 3} .5293075
{txt}{space 12}566. Nigeria  {c |}{col 27}{res}{space 2}-.1287135{col 39}{space 2} .1458108{col 50}{space 1}   -0.88{col 59}{space 3}0.377{col 67}{space 4}-.4145088{col 80}{space 3} .1570819
{txt}{space 11}586. Pakistan  {c |}{col 27}{res}{space 2}-.3484522{col 39}{space 2} .1452213{col 50}{space 1}   -2.40{col 59}{space 3}0.016{col 67}{space 4}-.6330921{col 80}{space 3}-.0638122
{txt}{space 15}604. Peru  {c |}{col 27}{res}{space 2}-.6047249{col 39}{space 2} .1452399{col 50}{space 1}   -4.16{col 59}{space 3}0.000{col 67}{space 4}-.8894011{col 80}{space 3}-.3200486
{txt}{space 8}608. Philippines  {c |}{col 27}{res}{space 2}-.1740444{col 39}{space 2} .1508737{col 50}{space 1}   -1.15{col 59}{space 3}0.249{col 67}{space 4}-.4697632{col 80}{space 3} .1216743
{txt}{space 11}620. Portugal  {c |}{col 27}{res}{space 2}-.0165317{col 39}{space 2} .2736013{col 50}{space 1}   -0.06{col 59}{space 3}0.952{col 67}{space 4}-.5528017{col 80}{space 3} .5197382
{txt}{space 12}642. Romania  {c |}{col 27}{res}{space 2}-.5544294{col 39}{space 2} .1820956{col 50}{space 1}   -3.04{col 59}{space 3}0.002{col 67}{space 4}-.9113444{col 80}{space 3}-.1975143
{txt}{space 13}643. Russia  {c |}{col 27}{res}{space 2}-.2142627{col 39}{space 2} .1508625{col 50}{space 1}   -1.42{col 59}{space 3}0.156{col 67}{space 4}-.5099595{col 80}{space 3} .0814341
{txt}{space 13}646. Rwanda  {c |}{col 27}{res}{space 2}-.2589821{col 39}{space 2} .1551097{col 50}{space 1}   -1.67{col 59}{space 3}0.095{col 67}{space 4}-.5630035{col 80}{space 3} .0450394
{txt}{space 13}688. Serbia  {c |}{col 27}{res}{space 2} .3124141{col 39}{space 2} .1452474{col 50}{space 1}    2.15{col 59}{space 3}0.031{col 67}{space 4} .0277232{col 80}{space 3}  .597105
{txt}{space 11}705. Slovenia  {c |}{col 27}{res}{space 2}-.2593053{col 39}{space 2} .1842869{col 50}{space 1}   -1.41{col 59}{space 3}0.159{col 67}{space 4}-.6205153{col 80}{space 3} .1019047
{txt}{space 11}716. Zimbabwe  {c |}{col 27}{res}{space 2}-.0987101{col 39}{space 2} .1499475{col 50}{space 1}   -0.66{col 59}{space 3}0.510{col 67}{space 4}-.3926134{col 80}{space 3} .1951933
{txt}{space 14}724. Spain  {c |}{col 27}{res}{space 2} .4162381{col 39}{space 2} .1452548{col 50}{space 1}    2.87{col 59}{space 3}0.004{col 67}{space 4} .1315326{col 80}{space 3} .7009435
{txt}{space 9}762. Tajikistan  {c |}{col 27}{res}{space 2}-.5617887{col 39}{space 2} .1452022{col 50}{space 1}   -3.87{col 59}{space 3}0.000{col 67}{space 4}-.8463911{col 80}{space 3}-.2771864
{txt}{space 11}764. Thailand  {c |}{col 27}{res}{space 2}-.5291878{col 39}{space 2} .1489998{col 50}{space 1}   -3.55{col 59}{space 3}0.000{col 67}{space 4}-.8212338{col 80}{space 3}-.2371419
{txt}780. Trinidad and Tobago  {c |}{col 27}{res}{space 2}-.0586198{col 39}{space 2}  .156525{col 50}{space 1}   -0.37{col 59}{space 3}0.708{col 67}{space 4}-.3654154{col 80}{space 3} .2481758
{txt}{space 12}788. Tunisia  {c |}{col 27}{res}{space 2}-.4418443{col 39}{space 2}  .145169{col 50}{space 1}   -3.04{col 59}{space 3}0.002{col 67}{space 4}-.7263815{col 80}{space 3} -.157307
{txt}{space 13}792. Turkey  {c |}{col 27}{res}{space 2}  -.32371{col 39}{space 2} .1450522{col 50}{space 1}   -2.23{col 59}{space 3}0.026{col 67}{space 4}-.6080184{col 80}{space 3}-.0394017
{txt}{space 12}804. Ukraine  {c |}{col 27}{res}{space 2} .2668943{col 39}{space 2}  .145067{col 50}{space 1}    1.84{col 59}{space 3}0.066{col 67}{space 4}-.0174432{col 80}{space 3} .5512318
{txt}{space 14}818. Egypt  {c |}{col 27}{res}{space 2}-.1708065{col 39}{space 2} .1455788{col 50}{space 1}   -1.17{col 59}{space 3}0.241{col 67}{space 4}-.4561471{col 80}{space 3}  .114534
{txt}{space 6}840. United States  {c |}{col 27}{res}{space 2}-.1262819{col 39}{space 2}  .194981{col 50}{space 1}   -0.65{col 59}{space 3}0.517{col 67}{space 4}-.5084528{col 80}{space 3}  .255889
{txt}{space 14}887. Yemen  {c |}{col 27}{res}{space 2}-.5076544{col 39}{space 2} .1454965{col 50}{space 1}   -3.49{col 59}{space 3}0.000{col 67}{space 4}-.7928337{col 80}{space 3} -.222475
{txt}{space 25} {c |}
{space 20}X025R {c |}{col 27}{res}{space 2} .0380835{col 39}{space 2} .0040619{col 50}{space 1}    9.38{col 59}{space 3}0.000{col 67}{space 4}  .030122{col 80}{space 3}  .046045
{txt}{space 21}X003 {c |}{col 27}{res}{space 2} .0009537{col 39}{space 2}  .000213{col 50}{space 1}    4.48{col 59}{space 3}0.000{col 67}{space 4} .0005362{col 80}{space 3} .0013712
{txt}{space 21}X001 {c |}{col 27}{res}{space 2}-.0396593{col 39}{space 2} .0059532{col 50}{space 1}   -6.66{col 59}{space 3}0.000{col 67}{space 4}-.0513278{col 80}{space 3}-.0279908
{txt}{space 16}PrayDaily {c |}{col 27}{res}{space 2}-.0202342{col 39}{space 2} .0070323{col 50}{space 1}   -2.88{col 59}{space 3}0.004{col 67}{space 4}-.0340177{col 80}{space 3}-.0064507
{txt}{space 15}Unemployed {c |}{col 27}{res}{space 2}-.0063076{col 39}{space 2} .0101375{col 50}{space 1}   -0.62{col 59}{space 3}0.534{col 67}{space 4}-.0261775{col 80}{space 3} .0135622
{txt}{space 25} {c |}
{space 21}S002 {c |}
{space 15}2010-2014  {c |}{col 27}{res}{space 2}-.1669408{col 39}{space 2} .0899005{col 50}{space 1}   -1.86{col 59}{space 3}0.063{col 67}{space 4}-.3431495{col 80}{space 3} .0092679
{txt}{space 15}2017-2020  {c |}{col 27}{res}{space 2}-.1157171{col 39}{space 2} .0903345{col 50}{space 1}   -1.28{col 59}{space 3}0.200{col 67}{space 4}-.2927765{col 80}{space 3} .0613423
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2} .7726114{col 39}{space 2} .1713963{col 50}{space 1}    4.51{col 59}{space 3}0.000{col 67}{space 4} .4366675{col 80}{space 3} 1.108555
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, dydx(Friday) over(Weekly) post
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}    30,501
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.Friday}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:Weekly}{p_end}
{p2colreset}{...}

{res}{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}      dy/dx{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.Friday               {col 25}{txt}{c |}  (base outcome)
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.Friday                {txt}{c |}
{space 17}Weekly {c |}
Does not Attend Weekly  {c |}{col 25}{res}{space 2} .0014094{col 37}{space 2} .0108606{col 48}{space 1}    0.13{col 57}{space 3}0.897{col 65}{space 4}-.0198779{col 78}{space 3} .0226967
{txt}{space 8}Attends Weekly  {c |}{col 25}{res}{space 2}-.0229871{col 37}{space 2}  .011871{col 48}{space 1}   -1.94{col 57}{space 3}0.053{col 65}{space 4}-.0462548{col 78}{space 3} .0002807
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 89}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. estimates store A
{txt}
{com}. 
. *** RELIGIOUS FAITH IMPORTANT IN CHILD  
. reg ChildFaithNotImportant i.Friday##i.Weekly i.S003 X025R X003 X001 PrayDaily Unemployed i.S002 [pweight=S017]
{txt}(sum of wgt is 35,032.4628709499)

Linear regression                               Number of obs     = {res}    34,966
                                                {txt}{help j_robustsingular:F(56, 34902) }     =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2370
                                                {txt}Root MSE          =    {res} .42085

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}   ChildFaithNotImportant{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}1.Friday {c |}{col 27}{res}{space 2}  .006192{col 39}{space 2} .0090474{col 50}{space 1}    0.68{col 59}{space 3}0.494{col 67}{space 4}-.0115412{col 80}{space 3} .0239253
{txt}{space 25} {c |}
{space 19}Weekly {c |}
{space 10}Attends Weekly  {c |}{col 27}{res}{space 2}-.0400028{col 39}{space 2} .0060142{col 50}{space 1}   -6.65{col 59}{space 3}0.000{col 67}{space 4}-.0517909{col 80}{space 3}-.0282147
{txt}{space 25} {c |}
{space 12}Friday#Weekly {c |}
{space 8}1#Attends Weekly  {c |}{col 27}{res}{space 2}-.0265679{col 39}{space 2} .0134307{col 50}{space 1}   -1.98{col 59}{space 3}0.048{col 67}{space 4}-.0528926{col 80}{space 3}-.0002432
{txt}{space 25} {c |}
{space 21}S003 {c |}
{space 10}31. Azerbaijan  {c |}{col 27}{res}{space 2} .1335933{col 39}{space 2} .1425747{col 50}{space 1}    0.94{col 59}{space 3}0.349{col 67}{space 4}-.1458577{col 80}{space 3} .4130443
{txt}{space 11}32. Argentina  {c |}{col 27}{res}{space 2} .4576808{col 39}{space 2} .1417661{col 50}{space 1}    3.23{col 59}{space 3}0.001{col 67}{space 4} .1798147{col 80}{space 3} .7355469
{txt}{space 11}36. Australia  {c |}{col 27}{res}{space 2}-.0420744{col 39}{space 2} .2100492{col 50}{space 1}   -0.20{col 59}{space 3}0.841{col 67}{space 4}-.4537775{col 80}{space 3} .3696287
{txt}{space 10}50. Bangladesh  {c |}{col 27}{res}{space 2}-.4132349{col 39}{space 2} .1420748{col 50}{space 1}   -2.91{col 59}{space 3}0.004{col 67}{space 4}-.6917062{col 80}{space 3}-.1347637
{txt}{space 13}51. Armenia  {c |}{col 27}{res}{space 2}-.6900456{col 39}{space 2}  .141873{col 50}{space 1}   -4.86{col 59}{space 3}0.000{col 67}{space 4}-.9681212{col 80}{space 3}  -.41197
{txt}{space 14}76. Brazil  {c |}{col 27}{res}{space 2}-.5982011{col 39}{space 2}  .141975{col 50}{space 1}   -4.21{col 59}{space 3}0.000{col 67}{space 4}-.8764766{col 80}{space 3}-.3199256
{txt}{space 12}104. Myanmar  {c |}{col 27}{res}{space 2}-.1806014{col 39}{space 2} .1597849{col 50}{space 1}   -1.13{col 59}{space 3}0.258{col 67}{space 4} -.493785{col 80}{space 3} .1325822
{txt}{space 13}124. Canada  {c |}{col 27}{res}{space 2} .1382758{col 39}{space 2} .1710472{col 50}{space 1}    0.81{col 59}{space 3}0.419{col 67}{space 4}-.1969822{col 80}{space 3} .4735337
{txt}{space 14}156. China  {c |}{col 27}{res}{space 2} .2287526{col 39}{space 2} .1476808{col 50}{space 1}    1.55{col 59}{space 3}0.121{col 67}{space 4}-.0607064{col 80}{space 3} .5182116
{txt}{space 13}196. Cyprus  {c |}{col 27}{res}{space 2} .0628896{col 39}{space 2} .1429466{col 50}{space 1}    0.44{col 59}{space 3}0.660{col 67}{space 4}-.2172902{col 80}{space 3} .3430695
{txt}{space 11}231. Ethiopia  {c |}{col 27}{res}{space 2}-.1519084{col 39}{space 2} .1436284{col 50}{space 1}   -1.06{col 59}{space 3}0.290{col 67}{space 4}-.4334247{col 80}{space 3} .1296078
{txt}{space 12}268. Georgia  {c |}{col 27}{res}{space 2}-.1077564{col 39}{space 2} .1617313{col 50}{space 1}   -0.67{col 59}{space 3}0.505{col 67}{space 4} -.424755{col 80}{space 3} .2092421
{txt}{space 10}275. Palestine  {c |}{col 27}{res}{space 2}-.3269632{col 39}{space 2} .1425049{col 50}{space 1}   -2.29{col 59}{space 3}0.022{col 67}{space 4}-.6062773{col 80}{space 3}-.0476491
{txt}{space 12}276. Germany  {c |}{col 27}{res}{space 2} .0384015{col 39}{space 2} .1553074{col 50}{space 1}    0.25{col 59}{space 3}0.805{col 67}{space 4} -.266006{col 80}{space 3} .3428089
{txt}{space 14}288. Ghana  {c |}{col 27}{res}{space 2}-.2903517{col 39}{space 2} .1466359{col 50}{space 1}   -1.98{col 59}{space 3}0.048{col 67}{space 4}-.5777628{col 80}{space 3}-.0029406
{txt}{space 13}300. Greece  {c |}{col 27}{res}{space 2} .2083104{col 39}{space 2} .1611462{col 50}{space 1}    1.29{col 59}{space 3}0.196{col 67}{space 4}-.1075412{col 80}{space 3}  .524162
{txt}{space 10}320. Guatemala  {c |}{col 27}{res}{space 2}-.6566545{col 39}{space 2} .1417663{col 50}{space 1}   -4.63{col 59}{space 3}0.000{col 67}{space 4}-.9345211{col 80}{space 3} -.378788
{txt}{space 6}344. Hong Kong SAR  {c |}{col 27}{res}{space 2}-.5135395{col 39}{space 2}  .142567{col 50}{space 1}   -3.60{col 59}{space 3}0.000{col 67}{space 4}-.7929753{col 80}{space 3}-.2341037
{txt}{space 10}360. Indonesia  {c |}{col 27}{res}{space 2}-.2759447{col 39}{space 2} .1419962{col 50}{space 1}   -1.94{col 59}{space 3}0.052{col 67}{space 4}-.5542617{col 80}{space 3} .0023724
{txt}{space 15}364. Iran  {c |}{col 27}{res}{space 2}-.1260798{col 39}{space 2} .1421781{col 50}{space 1}   -0.89{col 59}{space 3}0.375{col 67}{space 4}-.4047535{col 80}{space 3} .1525939
{txt}{space 15}368. Iraq  {c |}{col 27}{res}{space 2}-.2537482{col 39}{space 2} .1419424{col 50}{space 1}   -1.79{col 59}{space 3}0.074{col 67}{space 4}-.5319598{col 80}{space 3} .0244634
{txt}{space 9}398. Kazakhstan  {c |}{col 27}{res}{space 2} .2102508{col 39}{space 2}  .141952{col 50}{space 1}    1.48{col 59}{space 3}0.139{col 67}{space 4}-.0679796{col 80}{space 3} .4884812
{txt}{space 13}400. Jordan  {c |}{col 27}{res}{space 2}-.3265265{col 39}{space 2} .1421524{col 50}{space 1}   -2.30{col 59}{space 3}0.022{col 67}{space 4}-.6051497{col 80}{space 3}-.0479033
{txt}{space 9}417. Kyrgyzstan  {c |}{col 27}{res}{space 2} .1154999{col 39}{space 2} .1425196{col 50}{space 1}    0.81{col 59}{space 3}0.418{col 67}{space 4}-.1638431{col 80}{space 3} .3948428
{txt}{space 12}422. Lebanon  {c |}{col 27}{res}{space 2} .0861079{col 39}{space 2} .1426725{col 50}{space 1}    0.60{col 59}{space 3}0.546{col 67}{space 4}-.1935348{col 80}{space 3} .3657505
{txt}{space 10}446. Macau SAR  {c |}{col 27}{res}{space 2} .3266559{col 39}{space 2} .1416846{col 50}{space 1}    2.31{col 59}{space 3}0.021{col 67}{space 4} .0489496{col 80}{space 3} .6043621
{txt}{space 11}458. Malaysia  {c |}{col 27}{res}{space 2}-.3135451{col 39}{space 2} .1424598{col 50}{space 1}   -2.20{col 59}{space 3}0.028{col 67}{space 4}-.5927708{col 80}{space 3}-.0343195
{txt}{space 13}484. Mexico  {c |}{col 27}{res}{space 2}-.5021912{col 39}{space 2} .1417647{col 50}{space 1}   -3.54{col 59}{space 3}0.000{col 67}{space 4}-.7800546{col 80}{space 3}-.2243278
{txt}{space 12}504. Morocco  {c |}{col 27}{res}{space 2} -.302086{col 39}{space 2} .1424709{col 50}{space 1}   -2.12{col 59}{space 3}0.034{col 67}{space 4}-.5813336{col 80}{space 3}-.0228384
{txt}{space 8}528. Netherlands  {c |}{col 27}{res}{space 2}-.2906093{col 39}{space 2} .1584784{col 50}{space 1}   -1.83{col 59}{space 3}0.067{col 67}{space 4} -.601232{col 80}{space 3} .0200134
{txt}{space 8}554. New Zealand  {c |}{col 27}{res}{space 2}   .20582{col 39}{space 2} .1444318{col 50}{space 1}    1.43{col 59}{space 3}0.154{col 67}{space 4} -.077271{col 80}{space 3} .4889111
{txt}{space 12}566. Nigeria  {c |}{col 27}{res}{space 2}-.3146366{col 39}{space 2} .1423173{col 50}{space 1}   -2.21{col 59}{space 3}0.027{col 67}{space 4} -.593583{col 80}{space 3}-.0356903
{txt}{space 11}586. Pakistan  {c |}{col 27}{res}{space 2}-.1384766{col 39}{space 2} .1420881{col 50}{space 1}   -0.97{col 59}{space 3}0.330{col 67}{space 4}-.4169738{col 80}{space 3} .1400207
{txt}{space 15}604. Peru  {c |}{col 27}{res}{space 2} .4828035{col 39}{space 2}  .141999{col 50}{space 1}    3.40{col 59}{space 3}0.001{col 67}{space 4} .2044809{col 80}{space 3} .7611261
{txt}{space 8}608. Philippines  {c |}{col 27}{res}{space 2}-.3171826{col 39}{space 2} .1462951{col 50}{space 1}   -2.17{col 59}{space 3}0.030{col 67}{space 4}-.6039257{col 80}{space 3}-.0304396
{txt}{space 11}620. Portugal  {c |}{col 27}{res}{space 2}-.2526242{col 39}{space 2} .2356475{col 50}{space 1}   -1.07{col 59}{space 3}0.284{col 67}{space 4}-.7145008{col 80}{space 3} .2092524
{txt}{space 12}642. Romania  {c |}{col 27}{res}{space 2}-.1628288{col 39}{space 2} .2214878{col 50}{space 1}   -0.74{col 59}{space 3}0.462{col 67}{space 4}-.5969519{col 80}{space 3} .2712944
{txt}{space 13}643. Russia  {c |}{col 27}{res}{space 2}-.0177865{col 39}{space 2} .1469119{col 50}{space 1}   -0.12{col 59}{space 3}0.904{col 67}{space 4}-.3057385{col 80}{space 3} .2701655
{txt}{space 13}646. Rwanda  {c |}{col 27}{res}{space 2}-.0443339{col 39}{space 2} .1526298{col 50}{space 1}   -0.29{col 59}{space 3}0.771{col 67}{space 4}-.3434931{col 80}{space 3} .2548253
{txt}{space 13}688. Serbia  {c |}{col 27}{res}{space 2}-.1509715{col 39}{space 2} .1880591{col 50}{space 1}   -0.80{col 59}{space 3}0.422{col 67}{space 4}-.5195733{col 80}{space 3} .2176302
{txt}{space 11}705. Slovenia  {c |}{col 27}{res}{space 2}-.1007488{col 39}{space 2} .1809502{col 50}{space 1}   -0.56{col 59}{space 3}0.578{col 67}{space 4} -.455417{col 80}{space 3} .2539193
{txt}{space 11}716. Zimbabwe  {c |}{col 27}{res}{space 2}-.0160705{col 39}{space 2} .1468738{col 50}{space 1}   -0.11{col 59}{space 3}0.913{col 67}{space 4}-.3039477{col 80}{space 3} .2718068
{txt}{space 14}724. Spain  {c |}{col 27}{res}{space 2}-.6298134{col 39}{space 2} .1427047{col 50}{space 1}   -4.41{col 59}{space 3}0.000{col 67}{space 4}-.9095192{col 80}{space 3}-.3501076
{txt}{space 9}762. Tajikistan  {c |}{col 27}{res}{space 2} .0741932{col 39}{space 2} .1423034{col 50}{space 1}    0.52{col 59}{space 3}0.602{col 67}{space 4} -.204726{col 80}{space 3} .3531125
{txt}{space 11}764. Thailand  {c |}{col 27}{res}{space 2}-.1462657{col 39}{space 2}  .149487{col 50}{space 1}   -0.98{col 59}{space 3}0.328{col 67}{space 4} -.439265{col 80}{space 3} .1467335
{txt}780. Trinidad and Tobago  {c |}{col 27}{res}{space 2}-.2262766{col 39}{space 2} .1472694{col 50}{space 1}   -1.54{col 59}{space 3}0.124{col 67}{space 4}-.5149292{col 80}{space 3} .0623761
{txt}{space 12}788. Tunisia  {c |}{col 27}{res}{space 2} -.351211{col 39}{space 2}  .141949{col 50}{space 1}   -2.47{col 59}{space 3}0.013{col 67}{space 4}-.6294356{col 80}{space 3}-.0729863
{txt}{space 13}792. Turkey  {c |}{col 27}{res}{space 2}-.0098507{col 39}{space 2} .1418948{col 50}{space 1}   -0.07{col 59}{space 3}0.945{col 67}{space 4} -.287969{col 80}{space 3} .2682676
{txt}{space 12}804. Ukraine  {c |}{col 27}{res}{space 2} .0540424{col 39}{space 2} .2923186{col 50}{space 1}    0.18{col 59}{space 3}0.853{col 67}{space 4}-.5189115{col 80}{space 3} .6269962
{txt}{space 14}818. Egypt  {c |}{col 27}{res}{space 2}-.3548088{col 39}{space 2} .1421106{col 50}{space 1}   -2.50{col 59}{space 3}0.013{col 67}{space 4}-.6333502{col 80}{space 3}-.0762674
{txt}{space 6}840. United States  {c |}{col 27}{res}{space 2}-.0194989{col 39}{space 2} .1739436{col 50}{space 1}   -0.11{col 59}{space 3}0.911{col 67}{space 4}-.3604338{col 80}{space 3}  .321436
{txt}{space 14}887. Yemen  {c |}{col 27}{res}{space 2}-.4459991{col 39}{space 2} .1423275{col 50}{space 1}   -3.13{col 59}{space 3}0.002{col 67}{space 4}-.7249655{col 80}{space 3}-.1670327
{txt}{space 25} {c |}
{space 20}X025R {c |}{col 27}{res}{space 2} .0232618{col 39}{space 2} .0033007{col 50}{space 1}    7.05{col 59}{space 3}0.000{col 67}{space 4} .0167925{col 80}{space 3} .0297312
{txt}{space 21}X003 {c |}{col 27}{res}{space 2} .0000514{col 39}{space 2} .0001822{col 50}{space 1}    0.28{col 59}{space 3}0.778{col 67}{space 4}-.0003058{col 80}{space 3} .0004086
{txt}{space 21}X001 {c |}{col 27}{res}{space 2} -.016455{col 39}{space 2} .0050617{col 50}{space 1}   -3.25{col 59}{space 3}0.001{col 67}{space 4}-.0263761{col 80}{space 3}-.0065339
{txt}{space 16}PrayDaily {c |}{col 27}{res}{space 2}-.1161342{col 39}{space 2} .0068269{col 50}{space 1}  -17.01{col 59}{space 3}0.000{col 67}{space 4}-.1295151{col 80}{space 3}-.1027533
{txt}{space 15}Unemployed {c |}{col 27}{res}{space 2} .0066928{col 39}{space 2} .0090216{col 50}{space 1}    0.74{col 59}{space 3}0.458{col 67}{space 4}-.0109899{col 80}{space 3} .0243755
{txt}{space 25} {c |}
{space 21}S002 {c |}
{space 15}2005-2009  {c |}{col 27}{res}{space 2} .0325463{col 39}{space 2} .0104151{col 50}{space 1}    3.12{col 59}{space 3}0.002{col 67}{space 4} .0121323{col 80}{space 3} .0529603
{txt}{space 15}2010-2014  {c |}{col 27}{res}{space 2} .2132895{col 39}{space 2} .0106845{col 50}{space 1}   19.96{col 59}{space 3}0.000{col 67}{space 4} .1923475{col 80}{space 3} .2342315
{txt}{space 15}2017-2020  {c |}{col 27}{res}{space 2} .1972562{col 39}{space 2} .0095843{col 50}{space 1}   20.58{col 59}{space 3}0.000{col 67}{space 4} .1784706{col 80}{space 3} .2160419
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2} .4450427{col 39}{space 2} .1427781{col 50}{space 1}    3.12{col 59}{space 3}0.002{col 67}{space 4} .1651931{col 80}{space 3} .7248922
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, dydx(Friday) over(Weekly) post
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}    34,966
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.Friday}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:Weekly}{p_end}
{p2colreset}{...}

{res}{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}      dy/dx{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.Friday               {col 25}{txt}{c |}  (base outcome)
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.Friday                {txt}{c |}
{space 17}Weekly {c |}
Does not Attend Weekly  {c |}{col 25}{res}{space 2}  .006192{col 37}{space 2} .0090474{col 48}{space 1}    0.68{col 57}{space 3}0.494{col 65}{space 4}-.0115412{col 78}{space 3} .0239253
{txt}{space 8}Attends Weekly  {c |}{col 25}{res}{space 2}-.0203759{col 37}{space 2} .0099736{col 48}{space 1}   -2.04{col 57}{space 3}0.041{col 65}{space 4}-.0399244{col 78}{space 3}-.0008274
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 89}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. estimates store B
{txt}
{com}. 
. *** CONFIDENCE IN CHURCHES  
.  
. reg NotConfidentInChurches i.Friday##i.Weekly i.S003 X025R X003 X001 PrayDaily Unemployed i.S002 [pweight=S017]
{txt}(sum of wgt is 34,718.6296926962)

Linear regression                               Number of obs     = {res}    34,818
                                                {txt}{help j_robustsingular:F(55, 34754) }     =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1553
                                                {txt}Root MSE          =    {res} .38307

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}   NotConfidentInChurches{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}1.Friday {c |}{col 27}{res}{space 2}-.0071239{col 39}{space 2} .0088639{col 50}{space 1}   -0.80{col 59}{space 3}0.422{col 67}{space 4}-.0244974{col 80}{space 3} .0102495
{txt}{space 25} {c |}
{space 19}Weekly {c |}
{space 10}Attends Weekly  {c |}{col 27}{res}{space 2}-.0369485{col 39}{space 2} .0049775{col 50}{space 1}   -7.42{col 59}{space 3}0.000{col 67}{space 4}-.0467046{col 80}{space 3}-.0271925
{txt}{space 25} {c |}
{space 12}Friday#Weekly {c |}
{space 8}1#Attends Weekly  {c |}{col 27}{res}{space 2}-.0129259{col 39}{space 2} .0118102{col 50}{space 1}   -1.09{col 59}{space 3}0.274{col 67}{space 4}-.0360743{col 80}{space 3} .0102224
{txt}{space 25} {c |}
{space 21}S003 {c |}
{space 10}31. Azerbaijan  {c |}{col 27}{res}{space 2}-.0794812{col 39}{space 2} .1531607{col 50}{space 1}   -0.52{col 59}{space 3}0.604{col 67}{space 4}-.3796812{col 80}{space 3} .2207188
{txt}{space 11}32. Argentina  {c |}{col 27}{res}{space 2}-.5862458{col 39}{space 2} .1519807{col 50}{space 1}   -3.86{col 59}{space 3}0.000{col 67}{space 4}-.8841329{col 80}{space 3}-.2883588
{txt}{space 11}36. Australia  {c |}{col 27}{res}{space 2} .0541873{col 39}{space 2} .2133146{col 50}{space 1}    0.25{col 59}{space 3}0.799{col 67}{space 4}-.3639162{col 80}{space 3} .4722907
{txt}{space 10}50. Bangladesh  {c |}{col 27}{res}{space 2}-.5546751{col 39}{space 2} .1518691{col 50}{space 1}   -3.65{col 59}{space 3}0.000{col 67}{space 4}-.8523435{col 80}{space 3}-.2570067
{txt}{space 13}51. Armenia  {c |}{col 27}{res}{space 2}-.6332877{col 39}{space 2} .1520738{col 50}{space 1}   -4.16{col 59}{space 3}0.000{col 67}{space 4}-.9313573{col 80}{space 3} -.335218
{txt}{space 14}76. Brazil  {c |}{col 27}{res}{space 2} .4040822{col 39}{space 2} .1521749{col 50}{space 1}    2.66{col 59}{space 3}0.008{col 67}{space 4} .1058144{col 80}{space 3}   .70235
{txt}{space 12}104. Myanmar  {c |}{col 27}{res}{space 2}-.4433613{col 39}{space 2} .1585073{col 50}{space 1}   -2.80{col 59}{space 3}0.005{col 67}{space 4}-.7540408{col 80}{space 3}-.1326818
{txt}{space 13}124. Canada  {c |}{col 27}{res}{space 2} -.291567{col 39}{space 2} .1702593{col 50}{space 1}   -1.71{col 59}{space 3}0.087{col 67}{space 4}-.6252808{col 80}{space 3} .0421468
{txt}{space 14}156. China  {c |}{col 27}{res}{space 2}-.4498486{col 39}{space 2} .1599655{col 50}{space 1}   -2.81{col 59}{space 3}0.005{col 67}{space 4}-.7633861{col 80}{space 3}-.1363112
{txt}{space 13}196. Cyprus  {c |}{col 27}{res}{space 2}-.2079615{col 39}{space 2} .1527935{col 50}{space 1}   -1.36{col 59}{space 3}0.174{col 67}{space 4}-.5074418{col 80}{space 3} .0915188
{txt}{space 11}231. Ethiopia  {c |}{col 27}{res}{space 2}-.4367642{col 39}{space 2} .1524878{col 50}{space 1}   -2.86{col 59}{space 3}0.004{col 67}{space 4}-.7356453{col 80}{space 3}-.1378832
{txt}{space 12}268. Georgia  {c |}{col 27}{res}{space 2}-.5665281{col 39}{space 2} .1555195{col 50}{space 1}   -3.64{col 59}{space 3}0.000{col 67}{space 4}-.8713514{col 80}{space 3}-.2617049
{txt}{space 10}275. Palestine  {c |}{col 27}{res}{space 2}-.2450117{col 39}{space 2}   .15278{col 50}{space 1}   -1.60{col 59}{space 3}0.109{col 67}{space 4}-.5444654{col 80}{space 3}  .054442
{txt}{space 12}276. Germany  {c |}{col 27}{res}{space 2}  -.25393{col 39}{space 2} .1675083{col 50}{space 1}   -1.52{col 59}{space 3}0.130{col 67}{space 4}-.5822518{col 80}{space 3} .0743917
{txt}{space 14}288. Ghana  {c |}{col 27}{res}{space 2}-.4793141{col 39}{space 2} .1525625{col 50}{space 1}   -3.14{col 59}{space 3}0.002{col 67}{space 4}-.7783416{col 80}{space 3}-.1802866
{txt}{space 13}300. Greece  {c |}{col 27}{res}{space 2}-.2133832{col 39}{space 2} .1946077{col 50}{space 1}   -1.10{col 59}{space 3}0.273{col 67}{space 4}-.5948206{col 80}{space 3} .1680542
{txt}{space 10}320. Guatemala  {c |}{col 27}{res}{space 2}-.6604305{col 39}{space 2}  .151965{col 50}{space 1}   -4.35{col 59}{space 3}0.000{col 67}{space 4}-.9582867{col 80}{space 3}-.3625743
{txt}{space 6}344. Hong Kong SAR  {c |}{col 27}{res}{space 2}-.3764763{col 39}{space 2} .2157287{col 50}{space 1}   -1.75{col 59}{space 3}0.081{col 67}{space 4}-.7993116{col 80}{space 3} .0463589
{txt}{space 10}360. Indonesia  {c |}{col 27}{res}{space 2}-.5074265{col 39}{space 2} .1519158{col 50}{space 1}   -3.34{col 59}{space 3}0.001{col 67}{space 4}-.8051863{col 80}{space 3}-.2096667
{txt}{space 15}364. Iran  {c |}{col 27}{res}{space 2}-.3824349{col 39}{space 2} .1522172{col 50}{space 1}   -2.51{col 59}{space 3}0.012{col 67}{space 4}-.6807855{col 80}{space 3}-.0840843
{txt}{space 15}368. Iraq  {c |}{col 27}{res}{space 2}-.2248672{col 39}{space 2} .1521406{col 50}{space 1}   -1.48{col 59}{space 3}0.139{col 67}{space 4}-.5230676{col 80}{space 3} .0733332
{txt}{space 9}398. Kazakhstan  {c |}{col 27}{res}{space 2}-.3459431{col 39}{space 2} .1523146{col 50}{space 1}   -2.27{col 59}{space 3}0.023{col 67}{space 4}-.6444846{col 80}{space 3}-.0474016
{txt}{space 13}400. Jordan  {c |}{col 27}{res}{space 2}-.2520007{col 39}{space 2} .1524741{col 50}{space 1}   -1.65{col 59}{space 3}0.098{col 67}{space 4}-.5508549{col 80}{space 3} .0468535
{txt}{space 9}417. Kyrgyzstan  {c |}{col 27}{res}{space 2}-.4368986{col 39}{space 2} .1524089{col 50}{space 1}   -2.87{col 59}{space 3}0.004{col 67}{space 4}-.7356249{col 80}{space 3}-.1381723
{txt}{space 12}422. Lebanon  {c |}{col 27}{res}{space 2}-.0648188{col 39}{space 2} .1529916{col 50}{space 1}   -0.42{col 59}{space 3}0.672{col 67}{space 4}-.3646872{col 80}{space 3} .2350496
{txt}{space 10}446. Macau SAR  {c |}{col 27}{res}{space 2} -.658815{col 39}{space 2} .1518983{col 50}{space 1}   -4.34{col 59}{space 3}0.000{col 67}{space 4}-.9565406{col 80}{space 3}-.3610894
{txt}{space 11}458. Malaysia  {c |}{col 27}{res}{space 2}-.4657197{col 39}{space 2} .1522004{col 50}{space 1}   -3.06{col 59}{space 3}0.002{col 67}{space 4}-.7640374{col 80}{space 3}-.1674021
{txt}{space 13}484. Mexico  {c |}{col 27}{res}{space 2}-.5218775{col 39}{space 2} .1519495{col 50}{space 1}   -3.43{col 59}{space 3}0.001{col 67}{space 4}-.8197034{col 80}{space 3}-.2240516
{txt}{space 12}504. Morocco  {c |}{col 27}{res}{space 2}-.3963725{col 39}{space 2} .1523461{col 50}{space 1}   -2.60{col 59}{space 3}0.009{col 67}{space 4}-.6949758{col 80}{space 3}-.0977693
{txt}{space 8}528. Netherlands  {c |}{col 27}{res}{space 2} .0387062{col 39}{space 2} .1888398{col 50}{space 1}    0.20{col 59}{space 3}0.838{col 67}{space 4} -.331426{col 80}{space 3} .4088384
{txt}{space 8}554. New Zealand  {c |}{col 27}{res}{space 2}-.1033242{col 39}{space 2} .1590167{col 50}{space 1}   -0.65{col 59}{space 3}0.516{col 67}{space 4}-.4150021{col 80}{space 3} .2083537
{txt}{space 12}566. Nigeria  {c |}{col 27}{res}{space 2}-.4437534{col 39}{space 2} .1521763{col 50}{space 1}   -2.92{col 59}{space 3}0.004{col 67}{space 4}-.7420239{col 80}{space 3}-.1454828
{txt}{space 11}586. Pakistan  {c |}{col 27}{res}{space 2}-.5314217{col 39}{space 2} .1518989{col 50}{space 1}   -3.50{col 59}{space 3}0.000{col 67}{space 4}-.8291484{col 80}{space 3} -.233695
{txt}{space 15}604. Peru  {c |}{col 27}{res}{space 2} .5072576{col 39}{space 2} .1521574{col 50}{space 1}    3.33{col 59}{space 3}0.001{col 67}{space 4} .2090242{col 80}{space 3}  .805491
{txt}{space 8}608. Philippines  {c |}{col 27}{res}{space 2} -.292347{col 39}{space 2} .1557391{col 50}{space 1}   -1.88{col 59}{space 3}0.061{col 67}{space 4}-.5976007{col 80}{space 3} .0129068
{txt}{space 11}620. Portugal  {c |}{col 27}{res}{space 2}-.1707518{col 39}{space 2} .2683641{col 50}{space 1}   -0.64{col 59}{space 3}0.525{col 67}{space 4}-.6967541{col 80}{space 3} .3552504
{txt}{space 12}642. Romania  {c |}{col 27}{res}{space 2}-.3108019{col 39}{space 2} .2049241{col 50}{space 1}   -1.52{col 59}{space 3}0.129{col 67}{space 4}-.7124598{col 80}{space 3} .0908559
{txt}{space 13}643. Russia  {c |}{col 27}{res}{space 2}-.2103821{col 39}{space 2} .1582451{col 50}{space 1}   -1.33{col 59}{space 3}0.184{col 67}{space 4}-.5205475{col 80}{space 3} .0997834
{txt}{space 13}646. Rwanda  {c |}{col 27}{res}{space 2}-.2344707{col 39}{space 2} .1606738{col 50}{space 1}   -1.46{col 59}{space 3}0.144{col 67}{space 4}-.5493966{col 80}{space 3} .0804551
{txt}{space 13}688. Serbia  {c |}{col 27}{res}{space 2}-.4920647{col 39}{space 2} .1666915{col 50}{space 1}   -2.95{col 59}{space 3}0.003{col 67}{space 4}-.8187855{col 80}{space 3}-.1653439
{txt}{space 11}705. Slovenia  {c |}{col 27}{res}{space 2}-.0126711{col 39}{space 2} .1903135{col 50}{space 1}   -0.07{col 59}{space 3}0.947{col 67}{space 4}-.3856916{col 80}{space 3} .3603494
{txt}{space 11}716. Zimbabwe  {c |}{col 27}{res}{space 2}-.2230834{col 39}{space 2} .1560876{col 50}{space 1}   -1.43{col 59}{space 3}0.153{col 67}{space 4}-.5290201{col 80}{space 3} .0828532
{txt}{space 14}724. Spain  {c |}{col 27}{res}{space 2}  -.56881{col 39}{space 2} .1521156{col 50}{space 1}   -3.74{col 59}{space 3}0.000{col 67}{space 4}-.8669615{col 80}{space 3}-.2706586
{txt}{space 9}762. Tajikistan  {c |}{col 27}{res}{space 2}-.4116001{col 39}{space 2}  .152307{col 50}{space 1}   -2.70{col 59}{space 3}0.007{col 67}{space 4}-.7101268{col 80}{space 3}-.1130734
{txt}{space 11}764. Thailand  {c |}{col 27}{res}{space 2} -.540576{col 39}{space 2} .1529089{col 50}{space 1}   -3.54{col 59}{space 3}0.000{col 67}{space 4}-.8402823{col 80}{space 3}-.2408697
{txt}780. Trinidad and Tobago  {c |}{col 27}{res}{space 2}-.1093655{col 39}{space 2} .1587351{col 50}{space 1}   -0.69{col 59}{space 3}0.491{col 67}{space 4}-.4204915{col 80}{space 3} .2017605
{txt}{space 12}788. Tunisia  {c |}{col 27}{res}{space 2}-.0423313{col 39}{space 2} .1522632{col 50}{space 1}   -0.28{col 59}{space 3}0.781{col 67}{space 4}-.3407722{col 80}{space 3} .2561095
{txt}{space 13}792. Turkey  {c |}{col 27}{res}{space 2}-.3036705{col 39}{space 2}  .152051{col 50}{space 1}   -2.00{col 59}{space 3}0.046{col 67}{space 4}-.6016954{col 80}{space 3}-.0056456
{txt}{space 12}804. Ukraine  {c |}{col 27}{res}{space 2} -.599194{col 39}{space 2} .1520369{col 50}{space 1}   -3.94{col 59}{space 3}0.000{col 67}{space 4}-.8971913{col 80}{space 3}-.3011967
{txt}{space 14}818. Egypt  {c |}{col 27}{res}{space 2}-.2736479{col 39}{space 2} .1524566{col 50}{space 1}   -1.79{col 59}{space 3}0.073{col 67}{space 4}-.5724677{col 80}{space 3}  .025172
{txt}{space 6}840. United States  {c |}{col 27}{res}{space 2}  .021866{col 39}{space 2} .1864549{col 50}{space 1}    0.12{col 59}{space 3}0.907{col 67}{space 4}-.3435916{col 80}{space 3} .3873236
{txt}{space 14}887. Yemen  {c |}{col 27}{res}{space 2}-.3594145{col 39}{space 2} .1525673{col 50}{space 1}   -2.36{col 59}{space 3}0.018{col 67}{space 4}-.6584513{col 80}{space 3}-.0603776
{txt}{space 25} {c |}
{space 20}X025R {c |}{col 27}{res}{space 2} .0384547{col 39}{space 2} .0029863{col 50}{space 1}   12.88{col 59}{space 3}0.000{col 67}{space 4} .0326015{col 80}{space 3} .0443079
{txt}{space 21}X003 {c |}{col 27}{res}{space 2} .0001093{col 39}{space 2} .0001597{col 50}{space 1}    0.68{col 59}{space 3}0.494{col 67}{space 4}-.0002037{col 80}{space 3} .0004224
{txt}{space 21}X001 {c |}{col 27}{res}{space 2} -.025039{col 39}{space 2}  .004392{col 50}{space 1}   -5.70{col 59}{space 3}0.000{col 67}{space 4}-.0336474{col 80}{space 3}-.0164306
{txt}{space 16}PrayDaily {c |}{col 27}{res}{space 2}-.0780111{col 39}{space 2} .0060204{col 50}{space 1}  -12.96{col 59}{space 3}0.000{col 67}{space 4}-.0898113{col 80}{space 3} -.066211
{txt}{space 15}Unemployed {c |}{col 27}{res}{space 2} .0192334{col 39}{space 2} .0084882{col 50}{space 1}    2.27{col 59}{space 3}0.023{col 67}{space 4} .0025961{col 80}{space 3} .0358706
{txt}{space 25} {c |}
{space 21}S002 {c |}
{space 15}2005-2009  {c |}{col 27}{res}{space 2}-.0457429{col 39}{space 2} .0138086{col 50}{space 1}   -3.31{col 59}{space 3}0.001{col 67}{space 4}-.0728083{col 80}{space 3}-.0186775
{txt}{space 15}2010-2014  {c |}{col 27}{res}{space 2} .0324779{col 39}{space 2} .0107878{col 50}{space 1}    3.01{col 59}{space 3}0.003{col 67}{space 4} .0113335{col 80}{space 3} .0536223
{txt}{space 15}2017-2020  {c |}{col 27}{res}{space 2} .0594265{col 39}{space 2} .0090846{col 50}{space 1}    6.54{col 59}{space 3}0.000{col 67}{space 4} .0416204{col 80}{space 3} .0772325
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2} .5454408{col 39}{space 2} .1526952{col 50}{space 1}    3.57{col 59}{space 3}0.000{col 67}{space 4} .2461534{col 80}{space 3} .8447283
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, dydx(Friday) over(Weekly) post
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}    34,818
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.Friday}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:Weekly}{p_end}
{p2colreset}{...}

{res}{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}      dy/dx{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.Friday               {col 25}{txt}{c |}  (base outcome)
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.Friday                {txt}{c |}
{space 17}Weekly {c |}
Does not Attend Weekly  {c |}{col 25}{res}{space 2}-.0071239{col 37}{space 2} .0088639{col 48}{space 1}   -0.80{col 57}{space 3}0.422{col 65}{space 4}-.0244974{col 78}{space 3} .0102495
{txt}{space 8}Attends Weekly  {c |}{col 25}{res}{space 2}-.0200499{col 37}{space 2} .0078684{col 48}{space 1}   -2.55{col 57}{space 3}0.011{col 65}{space 4}-.0354721{col 78}{space 3}-.0046276
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 89}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. estimates store C
{txt}
{com}. 
. *** ONLY ACCEPTABLE RELIGION  
. reg OtherReligionsAcceptable i.Friday##i.Weekly i.S003 X025R X003 X001 PrayDaily Unemployed i.S002 [pweight=S017] 
{txt}(sum of wgt is 29,363.9050177839)

Linear regression                               Number of obs     = {res}    29,444
                                                {txt}{help j_robustsingular:F(50, 29385) }     =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1612
                                                {txt}Root MSE          =    {res}  .3652

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1} OtherReligionsAcceptable{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}1.Friday {c |}{col 27}{res}{space 2} .0222016{col 39}{space 2} .0096456{col 50}{space 1}    2.30{col 59}{space 3}0.021{col 67}{space 4} .0032958{col 80}{space 3} .0411073
{txt}{space 25} {c |}
{space 19}Weekly {c |}
{space 10}Attends Weekly  {c |}{col 27}{res}{space 2} -.039257{col 39}{space 2} .0054309{col 50}{space 1}   -7.23{col 59}{space 3}0.000{col 67}{space 4}-.0499017{col 80}{space 3}-.0286122
{txt}{space 25} {c |}
{space 12}Friday#Weekly {c |}
{space 8}1#Attends Weekly  {c |}{col 27}{res}{space 2}-.0387102{col 39}{space 2} .0127123{col 50}{space 1}   -3.05{col 59}{space 3}0.002{col 67}{space 4}-.0636269{col 80}{space 3}-.0137934
{txt}{space 25} {c |}
{space 21}S003 {c |}
{space 10}31. Azerbaijan  {c |}{col 27}{res}{space 2}-.2643633{col 39}{space 2} .1532938{col 50}{space 1}   -1.72{col 59}{space 3}0.085{col 67}{space 4}-.5648261{col 80}{space 3} .0360994
{txt}{space 11}32. Argentina  {c |}{col 27}{res}{space 2} .5373016{col 39}{space 2} .1524172{col 50}{space 1}    3.53{col 59}{space 3}0.000{col 67}{space 4} .2385571{col 80}{space 3} .8360461
{txt}{space 11}36. Australia  {c |}{col 27}{res}{space 2}-.1744499{col 39}{space 2} .2013429{col 50}{space 1}   -0.87{col 59}{space 3}0.386{col 67}{space 4}-.5690909{col 80}{space 3} .2201912
{txt}{space 10}50. Bangladesh  {c |}{col 27}{res}{space 2}-.4378569{col 39}{space 2} .1523728{col 50}{space 1}   -2.87{col 59}{space 3}0.004{col 67}{space 4}-.7365144{col 80}{space 3}-.1391995
{txt}{space 13}51. Armenia  {c |}{col 27}{res}{space 2}-.5296435{col 39}{space 2} .1524999{col 50}{space 1}   -3.47{col 59}{space 3}0.001{col 67}{space 4}-.8285501{col 80}{space 3}-.2307368
{txt}{space 14}76. Brazil  {c |}{col 27}{res}{space 2} .5279386{col 39}{space 2} .1525883{col 50}{space 1}    3.46{col 59}{space 3}0.001{col 67}{space 4} .2288587{col 80}{space 3} .8270184
{txt}{space 12}104. Myanmar  {c |}{col 27}{res}{space 2}-.4087976{col 39}{space 2} .1542245{col 50}{space 1}   -2.65{col 59}{space 3}0.008{col 67}{space 4}-.7110845{col 80}{space 3}-.1065107
{txt}{space 14}156. China  {c |}{col 27}{res}{space 2} .0729452{col 39}{space 2} .1734656{col 50}{space 1}    0.42{col 59}{space 3}0.674{col 67}{space 4}-.2670551{col 80}{space 3} .4129456
{txt}{space 13}196. Cyprus  {c |}{col 27}{res}{space 2}-.0650071{col 39}{space 2} .1533417{col 50}{space 1}   -0.42{col 59}{space 3}0.672{col 67}{space 4}-.3655638{col 80}{space 3} .2355496
{txt}{space 11}231. Ethiopia  {c |}{col 27}{res}{space 2} .1013407{col 39}{space 2} .1543214{col 50}{space 1}    0.66{col 59}{space 3}0.511{col 67}{space 4}-.2011361{col 80}{space 3} .4038174
{txt}{space 12}268. Georgia  {c |}{col 27}{res}{space 2}-.1485236{col 39}{space 2} .1725352{col 50}{space 1}   -0.86{col 59}{space 3}0.389{col 67}{space 4}-.4867003{col 80}{space 3} .1896532
{txt}{space 10}275. Palestine  {c |}{col 27}{res}{space 2}-.3334597{col 39}{space 2} .1527975{col 50}{space 1}   -2.18{col 59}{space 3}0.029{col 67}{space 4}-.6329496{col 80}{space 3}-.0339699
{txt}{space 12}276. Germany  {c |}{col 27}{res}{space 2} .2130008{col 39}{space 2} .1645682{col 50}{space 1}    1.29{col 59}{space 3}0.196{col 67}{space 4}-.1095604{col 80}{space 3} .5355619
{txt}{space 14}288. Ghana  {c |}{col 27}{res}{space 2}   .01159{col 39}{space 2} .1585882{col 50}{space 1}    0.07{col 59}{space 3}0.942{col 67}{space 4}-.2992499{col 80}{space 3}   .32243
{txt}{space 13}300. Greece  {c |}{col 27}{res}{space 2} .1824326{col 39}{space 2} .1772656{col 50}{space 1}    1.03{col 59}{space 3}0.303{col 67}{space 4}-.1650158{col 80}{space 3}  .529881
{txt}{space 10}320. Guatemala  {c |}{col 27}{res}{space 2}-.5531973{col 39}{space 2} .1524411{col 50}{space 1}   -3.63{col 59}{space 3}0.000{col 67}{space 4}-.8519887{col 80}{space 3}-.2544059
{txt}{space 6}344. Hong Kong SAR  {c |}{col 27}{res}{space 2} .4297586{col 39}{space 2} .2411823{col 50}{space 1}    1.78{col 59}{space 3}0.075{col 67}{space 4}-.0429695{col 80}{space 3} .9024867
{txt}{space 10}360. Indonesia  {c |}{col 27}{res}{space 2}-.3096366{col 39}{space 2} .1525146{col 50}{space 1}   -2.03{col 59}{space 3}0.042{col 67}{space 4}-.6085721{col 80}{space 3}-.0107011
{txt}{space 15}364. Iran  {c |}{col 27}{res}{space 2}-.1842853{col 39}{space 2}  .152752{col 50}{space 1}   -1.21{col 59}{space 3}0.228{col 67}{space 4}-.4836859{col 80}{space 3} .1151154
{txt}{space 15}368. Iraq  {c |}{col 27}{res}{space 2}-.2409856{col 39}{space 2} .1525879{col 50}{space 1}   -1.58{col 59}{space 3}0.114{col 67}{space 4}-.5400648{col 80}{space 3} .0580936
{txt}{space 9}398. Kazakhstan  {c |}{col 27}{res}{space 2}-.0382162{col 39}{space 2} .1529355{col 50}{space 1}   -0.25{col 59}{space 3}0.803{col 67}{space 4}-.3379766{col 80}{space 3} .2615442
{txt}{space 13}400. Jordan  {c |}{col 27}{res}{space 2}-.3967671{col 39}{space 2}  .152462{col 50}{space 1}   -2.60{col 59}{space 3}0.009{col 67}{space 4}-.6955994{col 80}{space 3}-.0979349
{txt}{space 9}417. Kyrgyzstan  {c |}{col 27}{res}{space 2}-.3692165{col 39}{space 2} .1527365{col 50}{space 1}   -2.42{col 59}{space 3}0.016{col 67}{space 4}-.6685869{col 80}{space 3}-.0698461
{txt}{space 12}422. Lebanon  {c |}{col 27}{res}{space 2} .0412745{col 39}{space 2} .1534247{col 50}{space 1}    0.27{col 59}{space 3}0.788{col 67}{space 4}-.2594447{col 80}{space 3} .3419937
{txt}{space 10}446. Macau SAR  {c |}{col 27}{res}{space 2} .4440436{col 39}{space 2} .1523511{col 50}{space 1}    2.91{col 59}{space 3}0.004{col 67}{space 4} .1454286{col 80}{space 3} .7426587
{txt}{space 11}458. Malaysia  {c |}{col 27}{res}{space 2}-.3038909{col 39}{space 2} .1528297{col 50}{space 1}   -1.99{col 59}{space 3}0.047{col 67}{space 4}-.6034439{col 80}{space 3}-.0043379
{txt}{space 13}484. Mexico  {c |}{col 27}{res}{space 2} .5802179{col 39}{space 2} .1524143{col 50}{space 1}    3.81{col 59}{space 3}0.000{col 67}{space 4} .2814791{col 80}{space 3} .8789567
{txt}{space 12}504. Morocco  {c |}{col 27}{res}{space 2}-.2983261{col 39}{space 2} .1527926{col 50}{space 1}   -1.95{col 59}{space 3}0.051{col 67}{space 4}-.5978066{col 80}{space 3} .0011543
{txt}{space 8}528. Netherlands  {c |}{col 27}{res}{space 2}-.1842231{col 39}{space 2} .1725323{col 50}{space 1}   -1.07{col 59}{space 3}0.286{col 67}{space 4}-.5223943{col 80}{space 3}  .153948
{txt}{space 8}554. New Zealand  {c |}{col 27}{res}{space 2} .3831398{col 39}{space 2} .1546352{col 50}{space 1}    2.48{col 59}{space 3}0.013{col 67}{space 4} .0800478{col 80}{space 3} .6862318
{txt}{space 12}566. Nigeria  {c |}{col 27}{res}{space 2}-.1523339{col 39}{space 2} .1530232{col 50}{space 1}   -1.00{col 59}{space 3}0.320{col 67}{space 4}-.4522662{col 80}{space 3} .1475984
{txt}{space 11}586. Pakistan  {c |}{col 27}{res}{space 2}-.3877651{col 39}{space 2} .1524052{col 50}{space 1}   -2.54{col 59}{space 3}0.011{col 67}{space 4}-.6864862{col 80}{space 3}-.0890441
{txt}{space 15}604. Peru  {c |}{col 27}{res}{space 2} .6139167{col 39}{space 2} .1526241{col 50}{space 1}    4.02{col 59}{space 3}0.000{col 67}{space 4} .3147666{col 80}{space 3} .9130668
{txt}{space 8}608. Philippines  {c |}{col 27}{res}{space 2}-.3076325{col 39}{space 2} .1542307{col 50}{space 1}   -1.99{col 59}{space 3}0.046{col 67}{space 4}-.6099315{col 80}{space 3}-.0053336
{txt}{space 12}642. Romania  {c |}{col 27}{res}{space 2} .0925327{col 39}{space 2}  .240635{col 50}{space 1}    0.38{col 59}{space 3}0.701{col 67}{space 4}-.3791227{col 80}{space 3} .5641881
{txt}{space 13}643. Russia  {c |}{col 27}{res}{space 2}-.1295112{col 39}{space 2} .1577994{col 50}{space 1}   -0.82{col 59}{space 3}0.412{col 67}{space 4} -.438805{col 80}{space 3} .1797826
{txt}{space 13}646. Rwanda  {c |}{col 27}{res}{space 2} .2654116{col 39}{space 2} .1626999{col 50}{space 1}    1.63{col 59}{space 3}0.103{col 67}{space 4}-.0534875{col 80}{space 3} .5843108
{txt}{space 13}688. Serbia  {c |}{col 27}{res}{space 2}  .538983{col 39}{space 2}  .152752{col 50}{space 1}    3.53{col 59}{space 3}0.000{col 67}{space 4} .2395822{col 80}{space 3} .8383838
{txt}{space 11}705. Slovenia  {c |}{col 27}{res}{space 2} .1049175{col 39}{space 2} .1901397{col 50}{space 1}    0.55{col 59}{space 3}0.581{col 67}{space 4}-.2677649{col 80}{space 3} .4775999
{txt}{space 11}716. Zimbabwe  {c |}{col 27}{res}{space 2} .1981033{col 39}{space 2} .1569186{col 50}{space 1}    1.26{col 59}{space 3}0.207{col 67}{space 4}-.1094642{col 80}{space 3} .5056709
{txt}{space 14}724. Spain  {c |}{col 27}{res}{space 2} .5134967{col 39}{space 2}  .152568{col 50}{space 1}    3.37{col 59}{space 3}0.001{col 67}{space 4} .2144565{col 80}{space 3} .8125368
{txt}{space 9}762. Tajikistan  {c |}{col 27}{res}{space 2}-.2913288{col 39}{space 2} .1527549{col 50}{space 1}   -1.91{col 59}{space 3}0.057{col 67}{space 4}-.5907352{col 80}{space 3} .0080776
{txt}{space 11}764. Thailand  {c |}{col 27}{res}{space 2}-.2747549{col 39}{space 2} .1570611{col 50}{space 1}   -1.75{col 59}{space 3}0.080{col 67}{space 4}-.5826017{col 80}{space 3} .0330918
{txt}780. Trinidad and Tobago  {c |}{col 27}{res}{space 2} .2890946{col 39}{space 2} .1618599{col 50}{space 1}    1.79{col 59}{space 3}0.074{col 67}{space 4}-.0281579{col 80}{space 3} .6063472
{txt}{space 12}788. Tunisia  {c |}{col 27}{res}{space 2}-.3132059{col 39}{space 2} .1525402{col 50}{space 1}   -2.05{col 59}{space 3}0.040{col 67}{space 4}-.6121916{col 80}{space 3}-.0142202
{txt}{space 13}792. Turkey  {c |}{col 27}{res}{space 2}-.2820426{col 39}{space 2} .1524577{col 50}{space 1}   -1.85{col 59}{space 3}0.064{col 67}{space 4}-.5808665{col 80}{space 3} .0167812
{txt}{space 12}804. Ukraine  {c |}{col 27}{res}{space 2}-.0619228{col 39}{space 2} .4265434{col 50}{space 1}   -0.15{col 59}{space 3}0.885{col 67}{space 4}-.8979671{col 80}{space 3} .7741214
{txt}{space 6}840. United States  {c |}{col 27}{res}{space 2} .0542037{col 39}{space 2}  .198097{col 50}{space 1}    0.27{col 59}{space 3}0.784{col 67}{space 4}-.3340752{col 80}{space 3} .4424826
{txt}{space 14}887. Yemen  {c |}{col 27}{res}{space 2}-.3727591{col 39}{space 2} .1527411{col 50}{space 1}   -2.44{col 59}{space 3}0.015{col 67}{space 4}-.6721385{col 80}{space 3}-.0733796
{txt}{space 25} {c |}
{space 20}X025R {c |}{col 27}{res}{space 2} .0362741{col 39}{space 2} .0032496{col 50}{space 1}   11.16{col 59}{space 3}0.000{col 67}{space 4} .0299047{col 80}{space 3} .0426436
{txt}{space 21}X003 {c |}{col 27}{res}{space 2} .0002238{col 39}{space 2} .0001655{col 50}{space 1}    1.35{col 59}{space 3}0.176{col 67}{space 4}-.0001005{col 80}{space 3} .0005482
{txt}{space 21}X001 {c |}{col 27}{res}{space 2}-.0048517{col 39}{space 2} .0048032{col 50}{space 1}   -1.01{col 59}{space 3}0.312{col 67}{space 4}-.0142661{col 80}{space 3} .0045628
{txt}{space 16}PrayDaily {c |}{col 27}{res}{space 2}-.0983325{col 39}{space 2} .0058873{col 50}{space 1}  -16.70{col 59}{space 3}0.000{col 67}{space 4}-.1098718{col 80}{space 3}-.0867932
{txt}{space 15}Unemployed {c |}{col 27}{res}{space 2}  .000852{col 39}{space 2} .0084191{col 50}{space 1}    0.10{col 59}{space 3}0.919{col 67}{space 4}-.0156499{col 80}{space 3} .0173538
{txt}{space 25} {c |}
{space 21}S002 {c |}
{space 15}2017-2020  {c |}{col 27}{res}{space 2} .0292225{col 39}{space 2} .0074751{col 50}{space 1}    3.91{col 59}{space 3}0.000{col 67}{space 4} .0145709{col 80}{space 3} .0438741
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .4547848{col 39}{space 2} .1529447{col 50}{space 1}    2.97{col 59}{space 3}0.003{col 67}{space 4} .1550064{col 80}{space 3} .7545631
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, dydx(Friday) over(Weekly) post
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}    29,444
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.Friday}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:Weekly}{p_end}
{p2colreset}{...}

{res}{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}      dy/dx{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.Friday               {col 25}{txt}{c |}  (base outcome)
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.Friday                {txt}{c |}
{space 17}Weekly {c |}
Does not Attend Weekly  {c |}{col 25}{res}{space 2} .0222016{col 37}{space 2} .0096456{col 48}{space 1}    2.30{col 57}{space 3}0.021{col 65}{space 4} .0032958{col 78}{space 3} .0411073
{txt}{space 8}Attends Weekly  {c |}{col 25}{res}{space 2}-.0165086{col 37}{space 2} .0083589{col 48}{space 1}   -1.97{col 57}{space 3}0.048{col 65}{space 4}-.0328924{col 78}{space 3}-.0001248
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 89}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. estimates store D
{txt}
{com}. 
. coefplot A B C D, xline(0) scheme(s1mono) legend(position(6) cols(1)) graphregion(color(white)) bgcolor(white) plotlabels("Trust other religions" "Child faith not important" "Not confident in religious institutions" "Other religions acceptable") levels(95 90) xtitle(Marginal Effect of Friday Interview)
{res}{txt}
{com}. 
. 
. *** FIGURE A10
. **** ONLY NONMUSLIM MAJORITY COUNTRIES
. *** TRUST OTHER REL 
. reg TrustOtherRel i.Friday##i.Weekly i.S003 X025R X003 X001 PrayDaily Unemployed i.S002 if PctMuslim < 0.5 [pweight=S017]
{txt}(sum of wgt is 5,451.22959011232)

Linear regression                               Number of obs     = {res}     5,759
                                                {txt}{help j_robustsingular:F(37, 5714) }      =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0814
                                                {txt}Root MSE          =    {res} .47713

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}            TrustOtherRel{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}1.Friday {c |}{col 27}{res}{space 2} .0103339{col 39}{space 2} .0269769{col 50}{space 1}    0.38{col 59}{space 3}0.702{col 67}{space 4}-.0425511{col 80}{space 3}  .063219
{txt}{space 25} {c |}
{space 19}Weekly {c |}
{space 10}Attends Weekly  {c |}{col 27}{res}{space 2} .0379781{col 39}{space 2} .0165629{col 50}{space 1}    2.29{col 59}{space 3}0.022{col 67}{space 4} .0055086{col 80}{space 3} .0704476
{txt}{space 25} {c |}
{space 12}Friday#Weekly {c |}
{space 8}1#Attends Weekly  {c |}{col 27}{res}{space 2} -.042951{col 39}{space 2}  .036994{col 50}{space 1}   -1.16{col 59}{space 3}0.246{col 67}{space 4}-.1154732{col 80}{space 3} .0295711
{txt}{space 25} {c |}
{space 21}S003 {c |}
{space 11}32. Argentina  {c |}{col 27}{res}{space 2} .2184454{col 39}{space 2} .1447088{col 50}{space 1}    1.51{col 59}{space 3}0.131{col 67}{space 4}-.0652388{col 80}{space 3} .5021295
{txt}{space 11}36. Australia  {c |}{col 27}{res}{space 2} .2643633{col 39}{space 2} .1509456{col 50}{space 1}    1.75{col 59}{space 3}0.080{col 67}{space 4}-.0315473{col 80}{space 3} .5602739
{txt}{space 13}51. Armenia  {c |}{col 27}{res}{space 2}-.7049271{col 39}{space 2}  .145078{col 50}{space 1}   -4.86{col 59}{space 3}0.000{col 67}{space 4}-.9893351{col 80}{space 3}-.4205192
{txt}{space 14}76. Brazil  {c |}{col 27}{res}{space 2} .2793459{col 39}{space 2} .1462517{col 50}{space 1}    1.91{col 59}{space 3}0.056{col 67}{space 4} -.007363{col 80}{space 3} .5660547
{txt}{space 12}104. Myanmar  {c |}{col 27}{res}{space 2} .1334824{col 39}{space 2} .1561024{col 50}{space 1}    0.86{col 59}{space 3}0.393{col 67}{space 4}-.1725374{col 80}{space 3} .4395022
{txt}{space 14}156. China  {c |}{col 27}{res}{space 2}-.3427324{col 39}{space 2} .1676876{col 50}{space 1}   -2.04{col 59}{space 3}0.041{col 67}{space 4}-.6714636{col 80}{space 3}-.0140012
{txt}{space 13}196. Cyprus  {c |}{col 27}{res}{space 2}-.3602251{col 39}{space 2} .1444373{col 50}{space 1}   -2.49{col 59}{space 3}0.013{col 67}{space 4} -.643377{col 80}{space 3}-.0770731
{txt}{space 11}231. Ethiopia  {c |}{col 27}{res}{space 2}-.1603319{col 39}{space 2} .1460179{col 50}{space 1}   -1.10{col 59}{space 3}0.272{col 67}{space 4}-.4465823{col 80}{space 3} .1259184
{txt}{space 12}268. Georgia  {c |}{col 27}{res}{space 2} .2214211{col 39}{space 2} .1510271{col 50}{space 1}    1.47{col 59}{space 3}0.143{col 67}{space 4}-.0746492{col 80}{space 3} .5174915
{txt}{space 12}276. Germany  {c |}{col 27}{res}{space 2} .0706768{col 39}{space 2} .1545201{col 50}{space 1}    0.46{col 59}{space 3}0.647{col 67}{space 4}-.2322413{col 80}{space 3} .3735949
{txt}{space 14}288. Ghana  {c |}{col 27}{res}{space 2}-.0481469{col 39}{space 2} .1521005{col 50}{space 1}   -0.32{col 59}{space 3}0.752{col 67}{space 4}-.3463215{col 80}{space 3} .2500277
{txt}{space 13}300. Greece  {c |}{col 27}{res}{space 2} -.230653{col 39}{space 2} .1828767{col 50}{space 1}   -1.26{col 59}{space 3}0.207{col 67}{space 4}-.5891606{col 80}{space 3} .1278546
{txt}{space 10}320. Guatemala  {c |}{col 27}{res}{space 2}  .197407{col 39}{space 2} .1444951{col 50}{space 1}    1.37{col 59}{space 3}0.172{col 67}{space 4}-.0858582{col 80}{space 3} .4806723
{txt}{space 6}344. Hong Kong SAR  {c |}{col 27}{res}{space 2} .0081249{col 39}{space 2} .3036241{col 50}{space 1}    0.03{col 59}{space 3}0.979{col 67}{space 4}-.5870936{col 80}{space 3} .6033433
{txt}{space 10}446. Macau SAR  {c |}{col 27}{res}{space 2}-.7158383{col 39}{space 2} .1437747{col 50}{space 1}   -4.98{col 59}{space 3}0.000{col 67}{space 4}-.9976912{col 80}{space 3}-.4339854
{txt}{space 13}484. Mexico  {c |}{col 27}{res}{space 2} .2994696{col 39}{space 2} .1441692{col 50}{space 1}    2.08{col 59}{space 3}0.038{col 67}{space 4} .0168433{col 80}{space 3} .5820959
{txt}{space 8}528. Netherlands  {c |}{col 27}{res}{space 2}-.1541492{col 39}{space 2} .1747164{col 50}{space 1}   -0.88{col 59}{space 3}0.378{col 67}{space 4}-.4966597{col 80}{space 3} .1883613
{txt}{space 8}554. New Zealand  {c |}{col 27}{res}{space 2} .0985163{col 39}{space 2} .2140526{col 50}{space 1}    0.46{col 59}{space 3}0.645{col 67}{space 4} -.321108{col 80}{space 3} .5181406
{txt}{space 12}566. Nigeria  {c |}{col 27}{res}{space 2}-.1545227{col 39}{space 2} .1451222{col 50}{space 1}   -1.06{col 59}{space 3}0.287{col 67}{space 4}-.4390173{col 80}{space 3} .1299719
{txt}{space 11}586. Pakistan  {c |}{col 27}{res}{space 2}-.3493556{col 39}{space 2} .1437874{col 50}{space 1}   -2.43{col 59}{space 3}0.015{col 67}{space 4}-.6312336{col 80}{space 3}-.0674777
{txt}{space 15}604. Peru  {c |}{col 27}{res}{space 2}-.6648461{col 39}{space 2} .1459264{col 50}{space 1}   -4.56{col 59}{space 3}0.000{col 67}{space 4}-.9509171{col 80}{space 3}-.3787751
{txt}{space 8}608. Philippines  {c |}{col 27}{res}{space 2}-.1994909{col 39}{space 2} .1504592{col 50}{space 1}   -1.33{col 59}{space 3}0.185{col 67}{space 4}-.4944481{col 80}{space 3} .0954663
{txt}{space 11}620. Portugal  {c |}{col 27}{res}{space 2}-.0174988{col 39}{space 2} .2617491{col 50}{space 1}   -0.07{col 59}{space 3}0.947{col 67}{space 4}-.5306263{col 80}{space 3} .4956287
{txt}{space 12}642. Romania  {c |}{col 27}{res}{space 2}-.5665232{col 39}{space 2} .1806801{col 50}{space 1}   -3.14{col 59}{space 3}0.002{col 67}{space 4}-.9207247{col 80}{space 3}-.2123218
{txt}{space 13}643. Russia  {c |}{col 27}{res}{space 2}-.2207328{col 39}{space 2} .1492797{col 50}{space 1}   -1.48{col 59}{space 3}0.139{col 67}{space 4}-.5133777{col 80}{space 3} .0719121
{txt}{space 13}646. Rwanda  {c |}{col 27}{res}{space 2}-.3077903{col 39}{space 2} .1551361{col 50}{space 1}   -1.98{col 59}{space 3}0.047{col 67}{space 4}-.6119159{col 80}{space 3}-.0036648
{txt}{space 13}688. Serbia  {c |}{col 27}{res}{space 2} .3206332{col 39}{space 2} .1442213{col 50}{space 1}    2.22{col 59}{space 3}0.026{col 67}{space 4} .0379047{col 80}{space 3} .6033617
{txt}{space 11}705. Slovenia  {c |}{col 27}{res}{space 2}-.2938223{col 39}{space 2} .1839681{col 50}{space 1}   -1.60{col 59}{space 3}0.110{col 67}{space 4}-.6544696{col 80}{space 3}  .066825
{txt}{space 11}716. Zimbabwe  {c |}{col 27}{res}{space 2}-.1058946{col 39}{space 2} .1490439{col 50}{space 1}   -0.71{col 59}{space 3}0.477{col 67}{space 4}-.3980771{col 80}{space 3} .1862879
{txt}{space 14}724. Spain  {c |}{col 27}{res}{space 2} .3586095{col 39}{space 2}  .146364{col 50}{space 1}    2.45{col 59}{space 3}0.014{col 67}{space 4} .0716806{col 80}{space 3} .6455383
{txt}{space 11}764. Thailand  {c |}{col 27}{res}{space 2}-.5352364{col 39}{space 2} .1475143{col 50}{space 1}   -3.63{col 59}{space 3}0.000{col 67}{space 4}-.8244203{col 80}{space 3}-.2460524
{txt}780. Trinidad and Tobago  {c |}{col 27}{res}{space 2}-.0812943{col 39}{space 2} .1569179{col 50}{space 1}   -0.52{col 59}{space 3}0.604{col 67}{space 4}-.3889129{col 80}{space 3} .2263242
{txt}{space 12}804. Ukraine  {c |}{col 27}{res}{space 2} .2762845{col 39}{space 2} .1449986{col 50}{space 1}    1.91{col 59}{space 3}0.057{col 67}{space 4}-.0079678{col 80}{space 3} .5605368
{txt}{space 6}840. United States  {c |}{col 27}{res}{space 2}-.1466711{col 39}{space 2} .1925703{col 50}{space 1}   -0.76{col 59}{space 3}0.446{col 67}{space 4} -.524182{col 80}{space 3} .2308398
{txt}{space 25} {c |}
{space 20}X025R {c |}{col 27}{res}{space 2} .0480259{col 39}{space 2} .0105116{col 50}{space 1}    4.57{col 59}{space 3}0.000{col 67}{space 4} .0274191{col 80}{space 3} .0686326
{txt}{space 21}X003 {c |}{col 27}{res}{space 2} .0007507{col 39}{space 2} .0005481{col 50}{space 1}    1.37{col 59}{space 3}0.171{col 67}{space 4}-.0003237{col 80}{space 3} .0018251
{txt}{space 21}X001 {c |}{col 27}{res}{space 2}-.0269927{col 39}{space 2} .0137551{col 50}{space 1}   -1.96{col 59}{space 3}0.050{col 67}{space 4}-.0539579{col 80}{space 3}-.0000275
{txt}{space 16}PrayDaily {c |}{col 27}{res}{space 2}-.0473129{col 39}{space 2} .0183732{col 50}{space 1}   -2.58{col 59}{space 3}0.010{col 67}{space 4}-.0833313{col 80}{space 3}-.0112946
{txt}{space 15}Unemployed {c |}{col 27}{res}{space 2}-.0181676{col 39}{space 2} .0245646{col 50}{space 1}   -0.74{col 59}{space 3}0.460{col 67}{space 4}-.0663235{col 80}{space 3} .0299883
{txt}{space 25} {c |}
{space 21}S002 {c |}
{space 15}2010-2014  {c |}{col 27}{res}{space 2}-.1556029{col 39}{space 2} .0900737{col 50}{space 1}   -1.73{col 59}{space 3}0.084{col 67}{space 4}-.3321816{col 80}{space 3} .0209757
{txt}{space 15}2017-2020  {c |}{col 27}{res}{space 2}-.1349327{col 39}{space 2} .0928438{col 50}{space 1}   -1.45{col 59}{space 3}0.146{col 67}{space 4}-.3169416{col 80}{space 3} .0470763
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2} .7674486{col 39}{space 2} .1751228{col 50}{space 1}    4.38{col 59}{space 3}0.000{col 67}{space 4} .4241414{col 80}{space 3} 1.110756
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, dydx(Friday) over(Weekly) post
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     5,759
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.Friday}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:Weekly}{p_end}
{p2colreset}{...}

{res}{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}      dy/dx{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.Friday               {col 25}{txt}{c |}  (base outcome)
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.Friday                {txt}{c |}
{space 17}Weekly {c |}
Does not Attend Weekly  {c |}{col 25}{res}{space 2} .0103339{col 37}{space 2} .0269769{col 48}{space 1}    0.38{col 57}{space 3}0.702{col 65}{space 4}-.0425511{col 78}{space 3}  .063219
{txt}{space 8}Attends Weekly  {c |}{col 25}{res}{space 2}-.0326171{col 37}{space 2}  .025321{col 48}{space 1}   -1.29{col 57}{space 3}0.198{col 65}{space 4}-.0822558{col 78}{space 3} .0170216
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 89}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. estimates store A
{txt}
{com}. 
. *** RELIGIOUS FAITH IMPORTANT IN CHILD   
. reg ChildFaithNotImportant i.Friday##i.Weekly i.S003 X025R X003 X001 PrayDaily Unemployed i.S002 if PctMuslim < 0.5 [pweight=S017]
{txt}(sum of wgt is 5,553.9696840196)

Linear regression                               Number of obs     = {res}     5,698
                                                {txt}{help j_robustsingular:F(39, 5651) }      =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1334
                                                {txt}Root MSE          =    {res} .45637

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}   ChildFaithNotImportant{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}1.Friday {c |}{col 27}{res}{space 2} .0243903{col 39}{space 2} .0272591{col 50}{space 1}    0.89{col 59}{space 3}0.371{col 67}{space 4}-.0290479{col 80}{space 3} .0778285
{txt}{space 25} {c |}
{space 19}Weekly {c |}
{space 10}Attends Weekly  {c |}{col 27}{res}{space 2}-.0266254{col 39}{space 2} .0160875{col 50}{space 1}   -1.66{col 59}{space 3}0.098{col 67}{space 4} -.058163{col 80}{space 3} .0049122
{txt}{space 25} {c |}
{space 12}Friday#Weekly {c |}
{space 8}1#Attends Weekly  {c |}{col 27}{res}{space 2}-.0187363{col 39}{space 2} .0366194{col 50}{space 1}   -0.51{col 59}{space 3}0.609{col 67}{space 4}-.0905243{col 80}{space 3} .0530517
{txt}{space 25} {c |}
{space 21}S003 {c |}
{space 11}32. Argentina  {c |}{col 27}{res}{space 2} .4716931{col 39}{space 2} .1448684{col 50}{space 1}    3.26{col 59}{space 3}0.001{col 67}{space 4} .1876955{col 80}{space 3} .7556908
{txt}{space 11}36. Australia  {c |}{col 27}{res}{space 2}-.0479405{col 39}{space 2} .2128617{col 50}{space 1}   -0.23{col 59}{space 3}0.822{col 67}{space 4}-.4652311{col 80}{space 3} .3693502
{txt}{space 13}51. Armenia  {c |}{col 27}{res}{space 2}-.7491595{col 39}{space 2} .1452839{col 50}{space 1}   -5.16{col 59}{space 3}0.000{col 67}{space 4}-1.033972{col 80}{space 3}-.4643474
{txt}{space 14}76. Brazil  {c |}{col 27}{res}{space 2}-.6486869{col 39}{space 2} .1458995{col 50}{space 1}   -4.45{col 59}{space 3}0.000{col 67}{space 4}-.9347059{col 80}{space 3}-.3626679
{txt}{space 12}104. Myanmar  {c |}{col 27}{res}{space 2}-.2109176{col 39}{space 2} .1624251{col 50}{space 1}   -1.30{col 59}{space 3}0.194{col 67}{space 4}-.5293331{col 80}{space 3} .1074978
{txt}{space 13}124. Canada  {c |}{col 27}{res}{space 2} .5206337{col 39}{space 2} .2052275{col 50}{space 1}    2.54{col 59}{space 3}0.011{col 67}{space 4}  .118309{col 80}{space 3} .9229583
{txt}{space 14}156. China  {c |}{col 27}{res}{space 2} .2167149{col 39}{space 2} .1498102{col 50}{space 1}    1.45{col 59}{space 3}0.148{col 67}{space 4}-.0769705{col 80}{space 3} .5104004
{txt}{space 13}196. Cyprus  {c |}{col 27}{res}{space 2} .0048307{col 39}{space 2} .1457711{col 50}{space 1}    0.03{col 59}{space 3}0.974{col 67}{space 4}-.2809366{col 80}{space 3}  .290598
{txt}{space 11}231. Ethiopia  {c |}{col 27}{res}{space 2}-.1867296{col 39}{space 2} .1462475{col 50}{space 1}   -1.28{col 59}{space 3}0.202{col 67}{space 4}-.4734308{col 80}{space 3} .0999715
{txt}{space 12}268. Georgia  {c |}{col 27}{res}{space 2}-.1734569{col 39}{space 2} .1649512{col 50}{space 1}   -1.05{col 59}{space 3}0.293{col 67}{space 4}-.4968246{col 80}{space 3} .1499109
{txt}{space 12}276. Germany  {c |}{col 27}{res}{space 2} .0331117{col 39}{space 2} .1574244{col 50}{space 1}    0.21{col 59}{space 3}0.833{col 67}{space 4}-.2755006{col 80}{space 3}  .341724
{txt}{space 14}288. Ghana  {c |}{col 27}{res}{space 2}-.4038761{col 39}{space 2} .1508465{col 50}{space 1}   -2.68{col 59}{space 3}0.007{col 67}{space 4}-.6995932{col 80}{space 3} -.108159
{txt}{space 13}300. Greece  {c |}{col 27}{res}{space 2} .1998063{col 39}{space 2} .1629342{col 50}{space 1}    1.23{col 59}{space 3}0.220{col 67}{space 4}-.1196074{col 80}{space 3} .5192199
{txt}{space 10}320. Guatemala  {c |}{col 27}{res}{space 2}-.6555191{col 39}{space 2} .1447928{col 50}{space 1}   -4.53{col 59}{space 3}0.000{col 67}{space 4}-.9393686{col 80}{space 3}-.3716696
{txt}{space 6}344. Hong Kong SAR  {c |}{col 27}{res}{space 2} -.520641{col 39}{space 2} .1444211{col 50}{space 1}   -3.61{col 59}{space 3}0.000{col 67}{space 4}-.8037618{col 80}{space 3}-.2375201
{txt}{space 10}446. Macau SAR  {c |}{col 27}{res}{space 2} .3296821{col 39}{space 2}  .144062{col 50}{space 1}    2.29{col 59}{space 3}0.022{col 67}{space 4} .0472653{col 80}{space 3} .6120989
{txt}{space 13}484. Mexico  {c |}{col 27}{res}{space 2}-.5217563{col 39}{space 2} .1445085{col 50}{space 1}   -3.61{col 59}{space 3}0.000{col 67}{space 4}-.8050486{col 80}{space 3}-.2384641
{txt}{space 8}528. Netherlands  {c |}{col 27}{res}{space 2}-.3739189{col 39}{space 2} .1616481{col 50}{space 1}   -2.31{col 59}{space 3}0.021{col 67}{space 4}-.6908111{col 80}{space 3}-.0570266
{txt}{space 8}554. New Zealand  {c |}{col 27}{res}{space 2} .1601699{col 39}{space 2} .1479972{col 50}{space 1}    1.08{col 59}{space 3}0.279{col 67}{space 4}-.1299614{col 80}{space 3} .4503012
{txt}{space 12}566. Nigeria  {c |}{col 27}{res}{space 2}-.3911013{col 39}{space 2} .1450871{col 50}{space 1}   -2.70{col 59}{space 3}0.007{col 67}{space 4}-.6755278{col 80}{space 3}-.1066749
{txt}{space 11}586. Pakistan  {c |}{col 27}{res}{space 2}-.1596016{col 39}{space 2} .1442063{col 50}{space 1}   -1.11{col 59}{space 3}0.268{col 67}{space 4}-.4423014{col 80}{space 3} .1230982
{txt}{space 15}604. Peru  {c |}{col 27}{res}{space 2}  .368644{col 39}{space 2} .1460431{col 50}{space 1}    2.52{col 59}{space 3}0.012{col 67}{space 4} .0823435{col 80}{space 3} .6549446
{txt}{space 8}608. Philippines  {c |}{col 27}{res}{space 2}-.3883231{col 39}{space 2} .1491576{col 50}{space 1}   -2.60{col 59}{space 3}0.009{col 67}{space 4}-.6807292{col 80}{space 3}-.0959171
{txt}{space 11}620. Portugal  {c |}{col 27}{res}{space 2}-.2808813{col 39}{space 2} .2398499{col 50}{space 1}   -1.17{col 59}{space 3}0.242{col 67}{space 4}-.7510793{col 80}{space 3} .1893167
{txt}{space 12}642. Romania  {c |}{col 27}{res}{space 2}-.1958811{col 39}{space 2} .2192656{col 50}{space 1}   -0.89{col 59}{space 3}0.372{col 67}{space 4}-.6257257{col 80}{space 3} .2339636
{txt}{space 13}643. Russia  {c |}{col 27}{res}{space 2}-.0176869{col 39}{space 2} .1488738{col 50}{space 1}   -0.12{col 59}{space 3}0.905{col 67}{space 4}-.3095366{col 80}{space 3} .2741628
{txt}{space 13}646. Rwanda  {c |}{col 27}{res}{space 2}-.1347298{col 39}{space 2} .1558978{col 50}{space 1}   -0.86{col 59}{space 3}0.388{col 67}{space 4}-.4403493{col 80}{space 3} .1708897
{txt}{space 13}688. Serbia  {c |}{col 27}{res}{space 2}-.1625588{col 39}{space 2} .1916537{col 50}{space 1}   -0.85{col 59}{space 3}0.396{col 67}{space 4}-.5382736{col 80}{space 3}  .213156
{txt}{space 11}705. Slovenia  {c |}{col 27}{res}{space 2}-.1695487{col 39}{space 2} .1838447{col 50}{space 1}   -0.92{col 59}{space 3}0.356{col 67}{space 4}-.5299549{col 80}{space 3} .1908576
{txt}{space 11}716. Zimbabwe  {c |}{col 27}{res}{space 2}-.0513462{col 39}{space 2} .1492192{col 50}{space 1}   -0.34{col 59}{space 3}0.731{col 67}{space 4}-.3438731{col 80}{space 3} .2411807
{txt}{space 14}724. Spain  {c |}{col 27}{res}{space 2}-.7311604{col 39}{space 2} .1465468{col 50}{space 1}   -4.99{col 59}{space 3}0.000{col 67}{space 4}-1.018448{col 80}{space 3}-.4438725
{txt}{space 11}764. Thailand  {c |}{col 27}{res}{space 2}-.1714686{col 39}{space 2} .1515606{col 50}{space 1}   -1.13{col 59}{space 3}0.258{col 67}{space 4}-.4685857{col 80}{space 3} .1256484
{txt}780. Trinidad and Tobago  {c |}{col 27}{res}{space 2}-.3482878{col 39}{space 2} .1550443{col 50}{space 1}   -2.25{col 59}{space 3}0.025{col 67}{space 4}-.6522341{col 80}{space 3}-.0443415
{txt}{space 12}804. Ukraine  {c |}{col 27}{res}{space 2} .0819164{col 39}{space 2} .2962145{col 50}{space 1}    0.28{col 59}{space 3}0.782{col 67}{space 4}-.4987776{col 80}{space 3} .6626105
{txt}{space 6}840. United States  {c |}{col 27}{res}{space 2}-.0023108{col 39}{space 2} .1807579{col 50}{space 1}   -0.01{col 59}{space 3}0.990{col 67}{space 4}-.3566655{col 80}{space 3}  .352044
{txt}{space 25} {c |}
{space 20}X025R {c |}{col 27}{res}{space 2} .0127587{col 39}{space 2} .0103577{col 50}{space 1}    1.23{col 59}{space 3}0.218{col 67}{space 4}-.0075465{col 80}{space 3} .0330638
{txt}{space 21}X003 {c |}{col 27}{res}{space 2}-.0009321{col 39}{space 2} .0005245{col 50}{space 1}   -1.78{col 59}{space 3}0.076{col 67}{space 4}-.0019604{col 80}{space 3} .0000962
{txt}{space 21}X001 {c |}{col 27}{res}{space 2}-.0012484{col 39}{space 2} .0129966{col 50}{space 1}   -0.10{col 59}{space 3}0.923{col 67}{space 4}-.0267267{col 80}{space 3}   .02423
{txt}{space 16}PrayDaily {c |}{col 27}{res}{space 2}-.0945901{col 39}{space 2} .0194325{col 50}{space 1}   -4.87{col 59}{space 3}0.000{col 67}{space 4}-.1326852{col 80}{space 3} -.056495
{txt}{space 15}Unemployed {c |}{col 27}{res}{space 2} .0293091{col 39}{space 2} .0227935{col 50}{space 1}    1.29{col 59}{space 3}0.199{col 67}{space 4}-.0153749{col 80}{space 3}  .073993
{txt}{space 25} {c |}
{space 21}S002 {c |}
{space 15}2005-2009  {c |}{col 27}{res}{space 2} .5730761{col 39}{space 2}  .138351{col 50}{space 1}    4.14{col 59}{space 3}0.000{col 67}{space 4}  .301855{col 80}{space 3} .8442972
{txt}{space 15}2010-2014  {c |}{col 27}{res}{space 2} .6814619{col 39}{space 2} .1130546{col 50}{space 1}    6.03{col 59}{space 3}0.000{col 67}{space 4} .4598314{col 80}{space 3} .9030924
{txt}{space 15}2017-2020  {c |}{col 27}{res}{space 2} .5905035{col 39}{space 2} .1120557{col 50}{space 1}    5.27{col 59}{space 3}0.000{col 67}{space 4} .3708312{col 80}{space 3} .8101757
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2} .0732546{col 39}{space 2}  .188315{col 50}{space 1}    0.39{col 59}{space 3}0.697{col 67}{space 4} -.295915{col 80}{space 3} .4424243
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, dydx(Friday) over(Weekly) post
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     5,698
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.Friday}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:Weekly}{p_end}
{p2colreset}{...}

{res}{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}      dy/dx{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.Friday               {col 25}{txt}{c |}  (base outcome)
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.Friday                {txt}{c |}
{space 17}Weekly {c |}
Does not Attend Weekly  {c |}{col 25}{res}{space 2} .0243903{col 37}{space 2} .0272591{col 48}{space 1}    0.89{col 57}{space 3}0.371{col 65}{space 4}-.0290479{col 78}{space 3} .0778285
{txt}{space 8}Attends Weekly  {c |}{col 25}{res}{space 2}  .005654{col 37}{space 2} .0244769{col 48}{space 1}    0.23{col 57}{space 3}0.817{col 65}{space 4}-.0423301{col 78}{space 3} .0536381
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 89}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. estimates store B
{txt}
{com}. 
. *** CONFIDENCE IN CHURCHES 
. reg NotConfidentInChurches i.Friday##i.Weekly i.S003 X025R X003 X001 PrayDaily Unemployed i.S002 if PctMuslim < 0.5 [pweight=S017]
{txt}(sum of wgt is 5,640.04575893793)

Linear regression                               Number of obs     = {res}     5,948
                                                {txt}{help j_robustsingular:F(38, 5901) }      =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2331
                                                {txt}Root MSE          =    {res} .30104

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}   NotConfidentInChurches{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}1.Friday {c |}{col 27}{res}{space 2}-.0016135{col 39}{space 2} .0194003{col 50}{space 1}   -0.08{col 59}{space 3}0.934{col 67}{space 4}-.0396451{col 80}{space 3} .0364182
{txt}{space 25} {c |}
{space 19}Weekly {c |}
{space 10}Attends Weekly  {c |}{col 27}{res}{space 2}-.0119006{col 39}{space 2} .0090175{col 50}{space 1}   -1.32{col 59}{space 3}0.187{col 67}{space 4}-.0295782{col 80}{space 3} .0057771
{txt}{space 25} {c |}
{space 12}Friday#Weekly {c |}
{space 8}1#Attends Weekly  {c |}{col 27}{res}{space 2}-.0207506{col 39}{space 2} .0233819{col 50}{space 1}   -0.89{col 59}{space 3}0.375{col 67}{space 4}-.0665877{col 80}{space 3} .0250865
{txt}{space 25} {c |}
{space 21}S003 {c |}
{space 11}32. Argentina  {c |}{col 27}{res}{space 2}-.5954042{col 39}{space 2} .1548553{col 50}{space 1}   -3.84{col 59}{space 3}0.000{col 67}{space 4}-.8989774{col 80}{space 3} -.291831
{txt}{space 11}36. Australia  {c |}{col 27}{res}{space 2} .0479939{col 39}{space 2} .2126419{col 50}{space 1}    0.23{col 59}{space 3}0.821{col 67}{space 4}-.3688622{col 80}{space 3} .4648499
{txt}{space 13}51. Armenia  {c |}{col 27}{res}{space 2}-.5375853{col 39}{space 2} .1548272{col 50}{space 1}   -3.47{col 59}{space 3}0.001{col 67}{space 4}-.8411032{col 80}{space 3}-.2340673
{txt}{space 14}76. Brazil  {c |}{col 27}{res}{space 2} .4699668{col 39}{space 2} .1553709{col 50}{space 1}    3.02{col 59}{space 3}0.002{col 67}{space 4} .1653829{col 80}{space 3} .7745507
{txt}{space 12}104. Myanmar  {c |}{col 27}{res}{space 2}-.4870169{col 39}{space 2} .1604691{col 50}{space 1}   -3.03{col 59}{space 3}0.002{col 67}{space 4} -.801595{col 80}{space 3}-.1724388
{txt}{space 13}124. Canada  {c |}{col 27}{res}{space 2}-.3522634{col 39}{space 2} .3487389{col 50}{space 1}   -1.01{col 59}{space 3}0.312{col 67}{space 4}-1.035919{col 80}{space 3} .3313925
{txt}{space 14}156. China  {c |}{col 27}{res}{space 2}-.4206512{col 39}{space 2} .1625816{col 50}{space 1}   -2.59{col 59}{space 3}0.010{col 67}{space 4}-.7393707{col 80}{space 3}-.1019317
{txt}{space 13}196. Cyprus  {c |}{col 27}{res}{space 2}-.1583233{col 39}{space 2}  .155242{col 50}{space 1}   -1.02{col 59}{space 3}0.308{col 67}{space 4}-.4626544{col 80}{space 3} .1460078
{txt}{space 11}231. Ethiopia  {c |}{col 27}{res}{space 2}-.4991266{col 39}{space 2} .1550125{col 50}{space 1}   -3.22{col 59}{space 3}0.001{col 67}{space 4}-.8030079{col 80}{space 3}-.1952453
{txt}{space 12}268. Georgia  {c |}{col 27}{res}{space 2}-.4759789{col 39}{space 2}  .158499{col 50}{space 1}   -3.00{col 59}{space 3}0.003{col 67}{space 4} -.786695{col 80}{space 3}-.1652627
{txt}{space 12}276. Germany  {c |}{col 27}{res}{space 2}-.2508198{col 39}{space 2} .1696198{col 50}{space 1}   -1.48{col 59}{space 3}0.139{col 67}{space 4}-.5833367{col 80}{space 3} .0816972
{txt}{space 14}288. Ghana  {c |}{col 27}{res}{space 2}  -.48407{col 39}{space 2} .1555626{col 50}{space 1}   -3.11{col 59}{space 3}0.002{col 67}{space 4}-.7890296{col 80}{space 3}-.1791104
{txt}{space 13}300. Greece  {c |}{col 27}{res}{space 2}-.2195147{col 39}{space 2} .1958554{col 50}{space 1}   -1.12{col 59}{space 3}0.262{col 67}{space 4}-.6034629{col 80}{space 3} .1644335
{txt}{space 10}320. Guatemala  {c |}{col 27}{res}{space 2}-.6265121{col 39}{space 2} .1545959{col 50}{space 1}   -4.05{col 59}{space 3}0.000{col 67}{space 4}-.9295767{col 80}{space 3}-.3234475
{txt}{space 6}344. Hong Kong SAR  {c |}{col 27}{res}{space 2}-.4215256{col 39}{space 2} .2262896{col 50}{space 1}   -1.86{col 59}{space 3}0.063{col 67}{space 4} -.865136{col 80}{space 3} .0220848
{txt}{space 10}446. Macau SAR  {c |}{col 27}{res}{space 2}-.6231504{col 39}{space 2} .1543152{col 50}{space 1}   -4.04{col 59}{space 3}0.000{col 67}{space 4}-.9256647{col 80}{space 3}-.3206361
{txt}{space 13}484. Mexico  {c |}{col 27}{res}{space 2}-.5779289{col 39}{space 2} .1546407{col 50}{space 1}   -3.74{col 59}{space 3}0.000{col 67}{space 4}-.8810814{col 80}{space 3}-.2747765
{txt}{space 8}528. Netherlands  {c |}{col 27}{res}{space 2} .0834391{col 39}{space 2} .1907524{col 50}{space 1}    0.44{col 59}{space 3}0.662{col 67}{space 4}-.2905055{col 80}{space 3} .4573837
{txt}{space 8}554. New Zealand  {c |}{col 27}{res}{space 2}-.0089922{col 39}{space 2} .1619862{col 50}{space 1}   -0.06{col 59}{space 3}0.956{col 67}{space 4}-.3265444{col 80}{space 3}   .30856
{txt}{space 12}566. Nigeria  {c |}{col 27}{res}{space 2}-.4691896{col 39}{space 2} .1547443{col 50}{space 1}   -3.03{col 59}{space 3}0.002{col 67}{space 4}-.7725451{col 80}{space 3} -.165834
{txt}{space 11}586. Pakistan  {c |}{col 27}{res}{space 2}-.5658073{col 39}{space 2}  .154272{col 50}{space 1}   -3.67{col 59}{space 3}0.000{col 67}{space 4}-.8682369{col 80}{space 3}-.2633777
{txt}{space 15}604. Peru  {c |}{col 27}{res}{space 2} .4905307{col 39}{space 2} .1552295{col 50}{space 1}    3.16{col 59}{space 3}0.002{col 67}{space 4}  .186224{col 80}{space 3} .7948374
{txt}{space 8}608. Philippines  {c |}{col 27}{res}{space 2}-.3168755{col 39}{space 2}  .158328{col 50}{space 1}   -2.00{col 59}{space 3}0.045{col 67}{space 4}-.6272563{col 80}{space 3}-.0064946
{txt}{space 11}620. Portugal  {c |}{col 27}{res}{space 2} -.210335{col 39}{space 2} .2741445{col 50}{space 1}   -0.77{col 59}{space 3}0.443{col 67}{space 4}-.7477586{col 80}{space 3} .3270886
{txt}{space 12}642. Romania  {c |}{col 27}{res}{space 2}-.3214605{col 39}{space 2} .2138464{col 50}{space 1}   -1.50{col 59}{space 3}0.133{col 67}{space 4}-.7406778{col 80}{space 3} .0977567
{txt}{space 13}643. Russia  {c |}{col 27}{res}{space 2}-.1971363{col 39}{space 2} .1604231{col 50}{space 1}   -1.23{col 59}{space 3}0.219{col 67}{space 4}-.5116243{col 80}{space 3} .1173517
{txt}{space 13}646. Rwanda  {c |}{col 27}{res}{space 2}-.1999852{col 39}{space 2}    .1635{col 50}{space 1}   -1.22{col 59}{space 3}0.221{col 67}{space 4} -.520505{col 80}{space 3} .1205346
{txt}{space 13}688. Serbia  {c |}{col 27}{res}{space 2}-.5216712{col 39}{space 2} .1676033{col 50}{space 1}   -3.11{col 59}{space 3}0.002{col 67}{space 4}-.8502349{col 80}{space 3}-.1931074
{txt}{space 11}705. Slovenia  {c |}{col 27}{res}{space 2}  .062271{col 39}{space 2} .1937757{col 50}{space 1}    0.32{col 59}{space 3}0.748{col 67}{space 4}-.3176003{col 80}{space 3} .4421422
{txt}{space 11}716. Zimbabwe  {c |}{col 27}{res}{space 2}-.2554329{col 39}{space 2}  .158718{col 50}{space 1}   -1.61{col 59}{space 3}0.108{col 67}{space 4}-.5665783{col 80}{space 3} .0557125
{txt}{space 14}724. Spain  {c |}{col 27}{res}{space 2}-.5206283{col 39}{space 2} .1549839{col 50}{space 1}   -3.36{col 59}{space 3}0.001{col 67}{space 4}-.8244535{col 80}{space 3}-.2168031
{txt}{space 11}764. Thailand  {c |}{col 27}{res}{space 2}-.5521996{col 39}{space 2} .1552645{col 50}{space 1}   -3.56{col 59}{space 3}0.000{col 67}{space 4}-.8565749{col 80}{space 3}-.2478244
{txt}780. Trinidad and Tobago  {c |}{col 27}{res}{space 2}  -.12236{col 39}{space 2} .1652937{col 50}{space 1}   -0.74{col 59}{space 3}0.459{col 67}{space 4}-.4463962{col 80}{space 3} .2016762
{txt}{space 12}804. Ukraine  {c |}{col 27}{res}{space 2} -.596539{col 39}{space 2} .1551276{col 50}{space 1}   -3.85{col 59}{space 3}0.000{col 67}{space 4}-.9006459{col 80}{space 3} -.292432
{txt}{space 6}840. United States  {c |}{col 27}{res}{space 2} .0548204{col 39}{space 2} .1947292{col 50}{space 1}    0.28{col 59}{space 3}0.778{col 67}{space 4}-.3269201{col 80}{space 3}  .436561
{txt}{space 25} {c |}
{space 20}X025R {c |}{col 27}{res}{space 2} .0157806{col 39}{space 2} .0062936{col 50}{space 1}    2.51{col 59}{space 3}0.012{col 67}{space 4} .0034427{col 80}{space 3} .0281184
{txt}{space 21}X003 {c |}{col 27}{res}{space 2}-.0005183{col 39}{space 2} .0003305{col 50}{space 1}   -1.57{col 59}{space 3}0.117{col 67}{space 4}-.0011663{col 80}{space 3} .0001296
{txt}{space 21}X001 {c |}{col 27}{res}{space 2}-.0058415{col 39}{space 2} .0083252{col 50}{space 1}   -0.70{col 59}{space 3}0.483{col 67}{space 4} -.022162{col 80}{space 3}  .010479
{txt}{space 16}PrayDaily {c |}{col 27}{res}{space 2}-.0129657{col 39}{space 2} .0118845{col 50}{space 1}   -1.09{col 59}{space 3}0.275{col 67}{space 4}-.0362635{col 80}{space 3} .0103322
{txt}{space 15}Unemployed {c |}{col 27}{res}{space 2} .0015957{col 39}{space 2} .0166511{col 50}{space 1}    0.10{col 59}{space 3}0.924{col 67}{space 4}-.0310466{col 80}{space 3} .0342381
{txt}{space 25} {c |}
{space 21}S002 {c |}
{space 15}2005-2009  {c |}{col 27}{res}{space 2} -.084655{col 39}{space 2} .3178422{col 50}{space 1}   -0.27{col 59}{space 3}0.790{col 67}{space 4} -.707742{col 80}{space 3}  .538432
{txt}{space 15}2010-2014  {c |}{col 27}{res}{space 2}-.0673134{col 39}{space 2} .3035227{col 50}{space 1}   -0.22{col 59}{space 3}0.824{col 67}{space 4} -.662329{col 80}{space 3} .5277022
{txt}{space 15}2017-2020  {c |}{col 27}{res}{space 2} .0115132{col 39}{space 2} .3034287{col 50}{space 1}    0.04{col 59}{space 3}0.970{col 67}{space 4}-.5833182{col 80}{space 3} .6063446
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2} .5957661{col 39}{space 2}  .341474{col 50}{space 1}    1.74{col 59}{space 3}0.081{col 67}{space 4} -.073648{col 80}{space 3}  1.26518
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, dydx(Friday) over(Weekly) post
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     5,948
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.Friday}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:Weekly}{p_end}
{p2colreset}{...}

{res}{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}      dy/dx{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.Friday               {col 25}{txt}{c |}  (base outcome)
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.Friday                {txt}{c |}
{space 17}Weekly {c |}
Does not Attend Weekly  {c |}{col 25}{res}{space 2}-.0016135{col 37}{space 2} .0194003{col 48}{space 1}   -0.08{col 57}{space 3}0.934{col 65}{space 4}-.0396451{col 78}{space 3} .0364182
{txt}{space 8}Attends Weekly  {c |}{col 25}{res}{space 2}-.0223641{col 37}{space 2} .0133283{col 48}{space 1}   -1.68{col 57}{space 3}0.093{col 65}{space 4}-.0484924{col 78}{space 3} .0037642
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 89}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. estimates store C
{txt}
{com}. 
. *** ONLY ACCEPTABLE RELIGION 
. reg OtherReligionsAcceptable i.Friday##i.Weekly i.S003 X025R X003 X001 PrayDaily Unemployed i.S002 if PctMuslim < 0.5 [pweight=S017] 
{txt}(sum of wgt is 5,442.94634793127)

Linear regression                               Number of obs     = {res}     5,718
                                                {txt}{help j_robustsingular:F(34, 5675) }      =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2651
                                                {txt}Root MSE          =    {res} .38315

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1} OtherReligionsAcceptable{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}1.Friday {c |}{col 27}{res}{space 2}-.0119112{col 39}{space 2} .0196668{col 50}{space 1}   -0.61{col 59}{space 3}0.545{col 67}{space 4}-.0504656{col 80}{space 3} .0266432
{txt}{space 25} {c |}
{space 19}Weekly {c |}
{space 10}Attends Weekly  {c |}{col 27}{res}{space 2}-.0174538{col 39}{space 2} .0129813{col 50}{space 1}   -1.34{col 59}{space 3}0.179{col 67}{space 4} -.042902{col 80}{space 3} .0079944
{txt}{space 25} {c |}
{space 12}Friday#Weekly {c |}
{space 8}1#Attends Weekly  {c |}{col 27}{res}{space 2} .0043511{col 39}{space 2} .0271931{col 50}{space 1}    0.16{col 59}{space 3}0.873{col 67}{space 4}-.0489578{col 80}{space 3} .0576599
{txt}{space 25} {c |}
{space 21}S003 {c |}
{space 11}32. Argentina  {c |}{col 27}{res}{space 2} .5307778{col 39}{space 2} .1538272{col 50}{space 1}    3.45{col 59}{space 3}0.001{col 67}{space 4} .2292178{col 80}{space 3} .8323379
{txt}{space 11}36. Australia  {c |}{col 27}{res}{space 2}-.1701391{col 39}{space 2} .2003315{col 50}{space 1}   -0.85{col 59}{space 3}0.396{col 67}{space 4}-.5628653{col 80}{space 3} .2225871
{txt}{space 13}51. Armenia  {c |}{col 27}{res}{space 2}-.5682341{col 39}{space 2}  .154197{col 50}{space 1}   -3.69{col 59}{space 3}0.000{col 67}{space 4}-.8705193{col 80}{space 3} -.265949
{txt}{space 14}76. Brazil  {c |}{col 27}{res}{space 2} .4796629{col 39}{space 2} .1548636{col 50}{space 1}    3.10{col 59}{space 3}0.002{col 67}{space 4} .1760711{col 80}{space 3} .7832548
{txt}{space 12}104. Myanmar  {c |}{col 27}{res}{space 2}-.4235912{col 39}{space 2} .1549284{col 50}{space 1}   -2.73{col 59}{space 3}0.006{col 67}{space 4}-.7273101{col 80}{space 3}-.1198723
{txt}{space 14}156. China  {c |}{col 27}{res}{space 2} .0537439{col 39}{space 2} .1736113{col 50}{space 1}    0.31{col 59}{space 3}0.757{col 67}{space 4}-.2866004{col 80}{space 3} .3940883
{txt}{space 13}196. Cyprus  {c |}{col 27}{res}{space 2}-.0974553{col 39}{space 2} .1542193{col 50}{space 1}   -0.63{col 59}{space 3}0.527{col 67}{space 4}-.3997841{col 80}{space 3} .2048735
{txt}{space 11}231. Ethiopia  {c |}{col 27}{res}{space 2} .0761312{col 39}{space 2} .1552341{col 50}{space 1}    0.49{col 59}{space 3}0.624{col 67}{space 4}-.2281869{col 80}{space 3} .3804493
{txt}{space 12}268. Georgia  {c |}{col 27}{res}{space 2}-.2176473{col 39}{space 2} .1747701{col 50}{space 1}   -1.25{col 59}{space 3}0.213{col 67}{space 4}-.5602635{col 80}{space 3} .1249689
{txt}{space 12}276. Germany  {c |}{col 27}{res}{space 2} .2101562{col 39}{space 2} .1652257{col 50}{space 1}    1.27{col 59}{space 3}0.203{col 67}{space 4}-.1137493{col 80}{space 3} .5340616
{txt}{space 14}288. Ghana  {c |}{col 27}{res}{space 2}-.0694869{col 39}{space 2} .1603478{col 50}{space 1}   -0.43{col 59}{space 3}0.665{col 67}{space 4}-.3838298{col 80}{space 3}  .244856
{txt}{space 13}300. Greece  {c |}{col 27}{res}{space 2}  .176207{col 39}{space 2} .1776699{col 50}{space 1}    0.99{col 59}{space 3}0.321{col 67}{space 4}-.1720938{col 80}{space 3} .5245078
{txt}{space 10}320. Guatemala  {c |}{col 27}{res}{space 2}-.5345852{col 39}{space 2} .1538816{col 50}{space 1}   -3.47{col 59}{space 3}0.001{col 67}{space 4}-.8362519{col 80}{space 3}-.2329184
{txt}{space 6}344. Hong Kong SAR  {c |}{col 27}{res}{space 2} .4084196{col 39}{space 2} .2473848{col 50}{space 1}    1.65{col 59}{space 3}0.099{col 67}{space 4} -.076549{col 80}{space 3} .8933883
{txt}{space 10}446. Macau SAR  {c |}{col 27}{res}{space 2} .4790119{col 39}{space 2} .1533356{col 50}{space 1}    3.12{col 59}{space 3}0.002{col 67}{space 4} .1784154{col 80}{space 3} .7796083
{txt}{space 13}484. Mexico  {c |}{col 27}{res}{space 2} .5239533{col 39}{space 2}  .153575{col 50}{space 1}    3.41{col 59}{space 3}0.001{col 67}{space 4} .2228876{col 80}{space 3} .8250191
{txt}{space 8}528. Netherlands  {c |}{col 27}{res}{space 2}-.2702234{col 39}{space 2} .1741548{col 50}{space 1}   -1.55{col 59}{space 3}0.121{col 67}{space 4}-.6116332{col 80}{space 3} .0711865
{txt}{space 8}554. New Zealand  {c |}{col 27}{res}{space 2} .3114898{col 39}{space 2} .1566332{col 50}{space 1}    1.99{col 59}{space 3}0.047{col 67}{space 4} .0044289{col 80}{space 3} .6185507
{txt}{space 12}566. Nigeria  {c |}{col 27}{res}{space 2}-.2100398{col 39}{space 2} .1540237{col 50}{space 1}   -1.36{col 59}{space 3}0.173{col 67}{space 4}-.5119852{col 80}{space 3} .0919056
{txt}{space 11}586. Pakistan  {c |}{col 27}{res}{space 2} -.400346{col 39}{space 2} .1530585{col 50}{space 1}   -2.62{col 59}{space 3}0.009{col 67}{space 4}-.7003991{col 80}{space 3}-.1002929
{txt}{space 15}604. Peru  {c |}{col 27}{res}{space 2} .5047262{col 39}{space 2}  .154855{col 50}{space 1}    3.26{col 59}{space 3}0.001{col 67}{space 4} .2011512{col 80}{space 3} .8083012
{txt}{space 8}608. Philippines  {c |}{col 27}{res}{space 2}-.3715655{col 39}{space 2} .1555799{col 50}{space 1}   -2.39{col 59}{space 3}0.017{col 67}{space 4}-.6765616{col 80}{space 3}-.0665694
{txt}{space 12}642. Romania  {c |}{col 27}{res}{space 2} .0342028{col 39}{space 2} .2469855{col 50}{space 1}    0.14{col 59}{space 3}0.890{col 67}{space 4}-.4499831{col 80}{space 3} .5183888
{txt}{space 13}643. Russia  {c |}{col 27}{res}{space 2}-.1362895{col 39}{space 2} .1583537{col 50}{space 1}   -0.86{col 59}{space 3}0.389{col 67}{space 4}-.4467232{col 80}{space 3} .1741443
{txt}{space 13}646. Rwanda  {c |}{col 27}{res}{space 2} .1894859{col 39}{space 2} .1638585{col 50}{space 1}    1.16{col 59}{space 3}0.248{col 67}{space 4}-.1317393{col 80}{space 3} .5107111
{txt}{space 13}688. Serbia  {c |}{col 27}{res}{space 2} .5369957{col 39}{space 2} .1535966{col 50}{space 1}    3.50{col 59}{space 3}0.000{col 67}{space 4} .2358876{col 80}{space 3} .8381037
{txt}{space 11}705. Slovenia  {c |}{col 27}{res}{space 2} .0339851{col 39}{space 2} .1922051{col 50}{space 1}    0.18{col 59}{space 3}0.860{col 67}{space 4}-.3428103{col 80}{space 3} .4107806
{txt}{space 11}716. Zimbabwe  {c |}{col 27}{res}{space 2} .1688463{col 39}{space 2} .1578999{col 50}{space 1}    1.07{col 59}{space 3}0.285{col 67}{space 4}-.1406979{col 80}{space 3} .4783906
{txt}{space 14}724. Spain  {c |}{col 27}{res}{space 2} .4257904{col 39}{space 2} .1546395{col 50}{space 1}    2.75{col 59}{space 3}0.006{col 67}{space 4} .1226379{col 80}{space 3} .7289429
{txt}{space 11}764. Thailand  {c |}{col 27}{res}{space 2}-.2953846{col 39}{space 2} .1577938{col 50}{space 1}   -1.87{col 59}{space 3}0.061{col 67}{space 4}-.6047207{col 80}{space 3} .0139515
{txt}780. Trinidad and Tobago  {c |}{col 27}{res}{space 2} .2044418{col 39}{space 2}  .163759{col 50}{space 1}    1.25{col 59}{space 3}0.212{col 67}{space 4}-.1165883{col 80}{space 3}  .525472
{txt}{space 12}804. Ukraine  {c |}{col 27}{res}{space 2}-.0582358{col 39}{space 2} .3999723{col 50}{space 1}   -0.15{col 59}{space 3}0.884{col 67}{space 4}-.8423344{col 80}{space 3} .7258628
{txt}{space 6}840. United States  {c |}{col 27}{res}{space 2} .0358271{col 39}{space 2} .1988889{col 50}{space 1}    0.18{col 59}{space 3}0.857{col 67}{space 4}-.3540711{col 80}{space 3} .4257253
{txt}{space 25} {c |}
{space 20}X025R {c |}{col 27}{res}{space 2} .0302018{col 39}{space 2} .0083649{col 50}{space 1}    3.61{col 59}{space 3}0.000{col 67}{space 4} .0138033{col 80}{space 3} .0466002
{txt}{space 21}X003 {c |}{col 27}{res}{space 2} .0008491{col 39}{space 2} .0004555{col 50}{space 1}    1.86{col 59}{space 3}0.062{col 67}{space 4}-.0000439{col 80}{space 3}  .001742
{txt}{space 21}X001 {c |}{col 27}{res}{space 2} .0438187{col 39}{space 2}  .011166{col 50}{space 1}    3.92{col 59}{space 3}0.000{col 67}{space 4} .0219291{col 80}{space 3} .0657083
{txt}{space 16}PrayDaily {c |}{col 27}{res}{space 2}  -.09508{col 39}{space 2} .0148245{col 50}{space 1}   -6.41{col 59}{space 3}0.000{col 67}{space 4}-.1241417{col 80}{space 3}-.0660183
{txt}{space 15}Unemployed {c |}{col 27}{res}{space 2} .0041484{col 39}{space 2} .0205554{col 50}{space 1}    0.20{col 59}{space 3}0.840{col 67}{space 4}-.0361481{col 80}{space 3} .0444448
{txt}{space 25} {c |}
{space 21}S002 {c |}
{space 15}2017-2020  {c |}{col 27}{res}{space 2}-.0362083{col 39}{space 2} .0195003{col 50}{space 1}   -1.86{col 59}{space 3}0.063{col 67}{space 4}-.0744363{col 80}{space 3} .0020197
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}  .436842{col 39}{space 2} .1571941{col 50}{space 1}    2.78{col 59}{space 3}0.005{col 67}{space 4} .1286814{col 80}{space 3} .7450026
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, dydx(Friday) over(Weekly) post
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     5,718
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.Friday}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:Weekly}{p_end}
{p2colreset}{...}

{res}{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}      dy/dx{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.Friday               {col 25}{txt}{c |}  (base outcome)
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.Friday                {txt}{c |}
{space 17}Weekly {c |}
Does not Attend Weekly  {c |}{col 25}{res}{space 2}-.0119112{col 37}{space 2} .0196668{col 48}{space 1}   -0.61{col 57}{space 3}0.545{col 65}{space 4}-.0504656{col 78}{space 3} .0266432
{txt}{space 8}Attends Weekly  {c |}{col 25}{res}{space 2}-.0075601{col 37}{space 2} .0188097{col 48}{space 1}   -0.40{col 57}{space 3}0.688{col 65}{space 4}-.0444344{col 78}{space 3} .0293142
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 89}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. estimates store D
{txt}
{com}. 
. coefplot A B C D, xline(0) scheme(s1mono) legend(position(6) cols(1)) graphregion(color(white)) bgcolor(white) plotlabels("Trust other religions" "Child faith not important" "Not confident in religious institutions" "Other religions acceptable") levels(95 90) xtitle(Marginal Effect of Friday Interview) saving(nonmuslim_countries.gph, replace) title(Non-Muslim-Majority Countries) yscale(alt)
{res}{txt}(note: file nonmuslim_countries.gph not found)
{res}{txt}(file nonmuslim_countries.gph saved)

{com}. 
. 
.         **** MUSLIM-MAJORITY COUNTRIES 
. *** TRUST OTHER REL
. reg TrustOtherRel i.Friday##i.Weekly i.S003 X025R X003 X001 PrayDaily Unemployed i.S002 if PctMuslim > 0.5 [pweight=S017]
{txt}(sum of wgt is 24,959.372828518)

Linear regression                               Number of obs     = {res}    24,742
                                                {txt}F(25, 24716)      =  {res}   104.05
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0840
                                                {txt}Root MSE          =    {res} .45365

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}    TrustOtherRel{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.Friday {c |}{col 19}{res}{space 2}-.0002172{col 31}{space 2} .0118498{col 42}{space 1}   -0.02{col 51}{space 3}0.985{col 59}{space 4}-.0234435{col 72}{space 3} .0230091
{txt}{space 17} {c |}
{space 11}Weekly {c |}
{space 2}Attends Weekly  {c |}{col 19}{res}{space 2}-.0139562{col 31}{space 2} .0079338{col 42}{space 1}   -1.76{col 51}{space 3}0.079{col 59}{space 4}-.0295069{col 72}{space 3} .0015946
{txt}{space 17} {c |}
{space 4}Friday#Weekly {c |}
1#Attends Weekly  {c |}{col 19}{res}{space 2}-.0199005{col 31}{space 2} .0178707{col 42}{space 1}   -1.11{col 51}{space 3}0.265{col 59}{space 4}-.0549281{col 72}{space 3} .0151272
{txt}{space 17} {c |}
{space 13}S003 {c |}
{space 2}50. Bangladesh  {c |}{col 19}{res}{space 2}-.0437875{col 31}{space 2} .0252057{col 42}{space 1}   -1.74{col 51}{space 3}0.082{col 59}{space 4}-.0931922{col 72}{space 3} .0056172
{txt}{space 2}275. Palestine  {c |}{col 19}{res}{space 2}-.1264197{col 31}{space 2} .0222427{col 42}{space 1}   -5.68{col 51}{space 3}0.000{col 59}{space 4}-.1700168{col 72}{space 3}-.0828227
{txt}{space 2}360. Indonesia  {c |}{col 19}{res}{space 2}-.0436299{col 31}{space 2} .0242683{col 42}{space 1}   -1.80{col 51}{space 3}0.072{col 59}{space 4}-.0911972{col 72}{space 3} .0039374
{txt}{space 7}364. Iran  {c |}{col 19}{res}{space 2} .2885741{col 31}{space 2}  .024005{col 42}{space 1}   12.02{col 51}{space 3}0.000{col 59}{space 4} .2415229{col 72}{space 3} .3356253
{txt}{space 7}368. Iraq  {c |}{col 19}{res}{space 2}  .057317{col 31}{space 2}   .02149{col 42}{space 1}    2.67{col 51}{space 3}0.008{col 59}{space 4} .0151954{col 72}{space 3} .0994387
{txt}{space 1}398. Kazakhstan  {c |}{col 19}{res}{space 2}  .054328{col 31}{space 2} .0223154{col 42}{space 1}    2.43{col 51}{space 3}0.015{col 59}{space 4} .0105885{col 72}{space 3} .0980675
{txt}{space 5}400. Jordan  {c |}{col 19}{res}{space 2} .1613478{col 31}{space 2} .0254226{col 42}{space 1}    6.35{col 51}{space 3}0.000{col 59}{space 4}  .111518{col 72}{space 3} .2111777
{txt}{space 1}417. Kyrgyzstan  {c |}{col 19}{res}{space 2}-.1319902{col 31}{space 2} .0255662{col 42}{space 1}   -5.16{col 51}{space 3}0.000{col 59}{space 4}-.1821015{col 72}{space 3}-.0818789
{txt}{space 4}422. Lebanon  {c |}{col 19}{res}{space 2} .0992554{col 31}{space 2} .0277067{col 42}{space 1}    3.58{col 51}{space 3}0.000{col 59}{space 4} .0449487{col 72}{space 3} .1535622
{txt}{space 3}458. Malaysia  {c |}{col 19}{res}{space 2} .1310452{col 31}{space 2} .0277522{col 42}{space 1}    4.72{col 51}{space 3}0.000{col 59}{space 4} .0766492{col 72}{space 3} .1854413
{txt}{space 4}504. Morocco  {c |}{col 19}{res}{space 2}-.0299174{col 31}{space 2} .0233347{col 42}{space 1}   -1.28{col 51}{space 3}0.200{col 59}{space 4}-.0756549{col 72}{space 3} .0158201
{txt}{space 1}762. Tajikistan  {c |}{col 19}{res}{space 2}-.2330534{col 31}{space 2} .0228926{col 42}{space 1}  -10.18{col 51}{space 3}0.000{col 59}{space 4}-.2779243{col 72}{space 3}-.1881824
{txt}{space 4}788. Tunisia  {c |}{col 19}{res}{space 2}-.1093348{col 31}{space 2} .0203219{col 42}{space 1}   -5.38{col 51}{space 3}0.000{col 59}{space 4}-.1491669{col 72}{space 3}-.0695028
{txt}{space 5}792. Turkey  {c |}{col 19}{res}{space 2} .0086192{col 31}{space 2} .0206098{col 42}{space 1}    0.42{col 51}{space 3}0.676{col 59}{space 4}-.0317773{col 72}{space 3} .0490157
{txt}{space 6}818. Egypt  {c |}{col 19}{res}{space 2} .1584874{col 31}{space 2} .0255731{col 42}{space 1}    6.20{col 51}{space 3}0.000{col 59}{space 4} .1083626{col 72}{space 3} .2086123
{txt}{space 6}887. Yemen  {c |}{col 19}{res}{space 2}-.1685042{col 31}{space 2} .0211858{col 42}{space 1}   -7.95{col 51}{space 3}0.000{col 59}{space 4}-.2100297{col 72}{space 3}-.1269787
{txt}{space 17} {c |}
{space 12}X025R {c |}{col 19}{res}{space 2} .0362863{col 31}{space 2} .0044027{col 42}{space 1}    8.24{col 51}{space 3}0.000{col 59}{space 4} .0276567{col 72}{space 3} .0449159
{txt}{space 13}X003 {c |}{col 19}{res}{space 2} .0010003{col 31}{space 2} .0002313{col 42}{space 1}    4.32{col 51}{space 3}0.000{col 59}{space 4}  .000547{col 72}{space 3} .0014537
{txt}{space 13}X001 {c |}{col 19}{res}{space 2}-.0445852{col 31}{space 2}  .006659{col 42}{space 1}   -6.70{col 51}{space 3}0.000{col 59}{space 4}-.0576373{col 72}{space 3}-.0315331
{txt}{space 8}PrayDaily {c |}{col 19}{res}{space 2}-.0143826{col 31}{space 2} .0076407{col 42}{space 1}   -1.88{col 51}{space 3}0.060{col 59}{space 4}-.0293588{col 72}{space 3} .0005936
{txt}{space 7}Unemployed {c |}{col 19}{res}{space 2}-.0015826{col 31}{space 2} .0110898{col 42}{space 1}   -0.14{col 51}{space 3}0.887{col 59}{space 4}-.0233192{col 72}{space 3} .0201541
{txt}{space 17} {c |}
{space 13}S002 {c |}
{space 7}2017-2020  {c |}{col 19}{res}{space 2} .0593638{col 31}{space 2} .0096387{col 42}{space 1}    6.16{col 51}{space 3}0.000{col 59}{space 4} .0404714{col 72}{space 3} .0782563
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} .2775318{col 31}{space 2} .0260645{col 42}{space 1}   10.65{col 51}{space 3}0.000{col 59}{space 4} .2264439{col 72}{space 3} .3286198
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, dydx(Friday) over(Weekly) post
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}    24,742
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.Friday}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:Weekly}{p_end}
{p2colreset}{...}

{res}{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}      dy/dx{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.Friday               {col 25}{txt}{c |}  (base outcome)
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.Friday                {txt}{c |}
{space 17}Weekly {c |}
Does not Attend Weekly  {c |}{col 25}{res}{space 2}-.0002172{col 37}{space 2} .0118498{col 48}{space 1}   -0.02{col 57}{space 3}0.985{col 65}{space 4}-.0234435{col 78}{space 3} .0230091
{txt}{space 8}Attends Weekly  {c |}{col 25}{res}{space 2}-.0201177{col 37}{space 2} .0134473{col 48}{space 1}   -1.50{col 57}{space 3}0.135{col 65}{space 4}-.0464752{col 78}{space 3} .0062399
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 89}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. estimates store A2
{txt}
{com}. 
. *** RELIGIOUS FAITH IMPORTANT IN CHILD  
. reg ChildFaithNotImportant i.Friday##i.Weekly i.S003 X025R X003 X001 PrayDaily Unemployed  i.S002 if PctMuslim > 0.5 [pweight=S017]
{txt}(sum of wgt is 29,478.4931869303)

Linear regression                               Number of obs     = {res}    29,268
                                                {txt}F(27, 29240)      =  {res}   457.95
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2576
                                                {txt}Root MSE          =    {res} .41369

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}ChildFaithNotIm~t{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.Friday {c |}{col 19}{res}{space 2} .0032956{col 31}{space 2} .0095406{col 42}{space 1}    0.35{col 51}{space 3}0.730{col 59}{space 4}-.0154045{col 72}{space 3} .0219956
{txt}{space 17} {c |}
{space 11}Weekly {c |}
{space 2}Attends Weekly  {c |}{col 19}{res}{space 2}-.0438372{col 31}{space 2}  .006511{col 42}{space 1}   -6.73{col 51}{space 3}0.000{col 59}{space 4} -.056599{col 72}{space 3}-.0310754
{txt}{space 17} {c |}
{space 4}Friday#Weekly {c |}
1#Attends Weekly  {c |}{col 19}{res}{space 2} -.029343{col 31}{space 2} .0144146{col 42}{space 1}   -2.04{col 51}{space 3}0.042{col 59}{space 4}-.0575963{col 72}{space 3}-.0010897
{txt}{space 17} {c |}
{space 13}S003 {c |}
{space 2}50. Bangladesh  {c |}{col 19}{res}{space 2}-.5555718{col 31}{space 2} .0207425{col 42}{space 1}  -26.78{col 51}{space 3}0.000{col 59}{space 4} -.596228{col 72}{space 3}-.5149157
{txt}{space 2}275. Palestine  {c |}{col 19}{res}{space 2}-.4566112{col 31}{space 2} .0204776{col 42}{space 1}  -22.30{col 51}{space 3}0.000{col 59}{space 4}-.4967483{col 72}{space 3}-.4164741
{txt}{space 2}360. Indonesia  {c |}{col 19}{res}{space 2}-.4170357{col 31}{space 2} .0198039{col 42}{space 1}  -21.06{col 51}{space 3}0.000{col 59}{space 4}-.4558522{col 72}{space 3}-.3782191
{txt}{space 7}364. Iran  {c |}{col 19}{res}{space 2} -.269355{col 31}{space 2} .0213058{col 42}{space 1}  -12.64{col 51}{space 3}0.000{col 59}{space 4}-.3111154{col 72}{space 3}-.2275946
{txt}{space 7}368. Iraq  {c |}{col 19}{res}{space 2}-.3902523{col 31}{space 2} .0182832{col 42}{space 1}  -21.34{col 51}{space 3}0.000{col 59}{space 4}-.4260883{col 72}{space 3}-.3544163
{txt}{space 1}398. Kazakhstan  {c |}{col 19}{res}{space 2} .0703902{col 31}{space 2} .0173404{col 42}{space 1}    4.06{col 51}{space 3}0.000{col 59}{space 4} .0364023{col 72}{space 3} .1043781
{txt}{space 5}400. Jordan  {c |}{col 19}{res}{space 2}-.4698993{col 31}{space 2} .0213548{col 42}{space 1}  -22.00{col 51}{space 3}0.000{col 59}{space 4}-.5117556{col 72}{space 3} -.428043
{txt}{space 1}417. Kyrgyzstan  {c |}{col 19}{res}{space 2}-.0286813{col 31}{space 2} .0233256{col 42}{space 1}   -1.23{col 51}{space 3}0.219{col 59}{space 4}-.0744006{col 72}{space 3}  .017038
{txt}{space 4}422. Lebanon  {c |}{col 19}{res}{space 2}-.0573275{col 31}{space 2} .0244344{col 42}{space 1}   -2.35{col 51}{space 3}0.019{col 59}{space 4}-.1052201{col 72}{space 3}-.0094349
{txt}{space 3}458. Malaysia  {c |}{col 19}{res}{space 2}-.4545469{col 31}{space 2} .0234138{col 42}{space 1}  -19.41{col 51}{space 3}0.000{col 59}{space 4}-.5004391{col 72}{space 3}-.4086547
{txt}{space 4}504. Morocco  {c |}{col 19}{res}{space 2}-.4294526{col 31}{space 2}  .020364{col 42}{space 1}  -21.09{col 51}{space 3}0.000{col 59}{space 4}-.4693671{col 72}{space 3}-.3895382
{txt}{space 1}762. Tajikistan  {c |}{col 19}{res}{space 2} -.069092{col 31}{space 2} .0219413{col 42}{space 1}   -3.15{col 51}{space 3}0.002{col 59}{space 4} -.112098{col 72}{space 3} -.026086
{txt}{space 4}788. Tunisia  {c |}{col 19}{res}{space 2}-.4878307{col 31}{space 2} .0179331{col 42}{space 1}  -27.20{col 51}{space 3}0.000{col 59}{space 4}-.5229805{col 72}{space 3}-.4526809
{txt}{space 5}792. Turkey  {c |}{col 19}{res}{space 2}-.1482487{col 31}{space 2} .0176817{col 42}{space 1}   -8.38{col 51}{space 3}0.000{col 59}{space 4}-.1829055{col 72}{space 3}-.1135918
{txt}{space 6}818. Egypt  {c |}{col 19}{res}{space 2}-.4968782{col 31}{space 2} .0211234{col 42}{space 1}  -23.52{col 51}{space 3}0.000{col 59}{space 4} -.538281{col 72}{space 3}-.4554753
{txt}{space 6}887. Yemen  {c |}{col 19}{res}{space 2} -.576344{col 31}{space 2} .0188416{col 42}{space 1}  -30.59{col 51}{space 3}0.000{col 59}{space 4}-.6132744{col 72}{space 3}-.5394135
{txt}{space 17} {c |}
{space 12}X025R {c |}{col 19}{res}{space 2} .0242349{col 31}{space 2} .0034755{col 42}{space 1}    6.97{col 51}{space 3}0.000{col 59}{space 4} .0174228{col 72}{space 3} .0310471
{txt}{space 13}X003 {c |}{col 19}{res}{space 2} .0002088{col 31}{space 2} .0001943{col 42}{space 1}    1.07{col 51}{space 3}0.283{col 59}{space 4} -.000172{col 72}{space 3} .0005895
{txt}{space 13}X001 {c |}{col 19}{res}{space 2}-.0209817{col 31}{space 2} .0055184{col 42}{space 1}   -3.80{col 51}{space 3}0.000{col 59}{space 4}-.0317981{col 72}{space 3}-.0101653
{txt}{space 8}PrayDaily {c |}{col 19}{res}{space 2}-.1183626{col 31}{space 2}  .007298{col 42}{space 1}  -16.22{col 51}{space 3}0.000{col 59}{space 4} -.132667{col 72}{space 3}-.1040582
{txt}{space 7}Unemployed {c |}{col 19}{res}{space 2} .0026979{col 31}{space 2}  .009825{col 42}{space 1}    0.27{col 51}{space 3}0.784{col 59}{space 4}-.0165595{col 72}{space 3} .0219553
{txt}{space 17} {c |}
{space 13}S002 {c |}
{space 7}2005-2009  {c |}{col 19}{res}{space 2} .0300619{col 31}{space 2} .0104452{col 42}{space 1}    2.88{col 51}{space 3}0.004{col 59}{space 4} .0095889{col 72}{space 3}  .050535
{txt}{space 7}2010-2014  {c |}{col 19}{res}{space 2} .2050506{col 31}{space 2} .0109954{col 42}{space 1}   18.65{col 51}{space 3}0.000{col 59}{space 4} .1834992{col 72}{space 3} .2266021
{txt}{space 7}2017-2020  {c |}{col 19}{res}{space 2} .2011403{col 31}{space 2} .0096695{col 42}{space 1}   20.80{col 51}{space 3}0.000{col 59}{space 4} .1821877{col 72}{space 3}  .220093
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} .5870276{col 31}{space 2} .0249864{col 42}{space 1}   23.49{col 51}{space 3}0.000{col 59}{space 4} .5380531{col 72}{space 3} .6360021
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, dydx(Friday) over(Weekly) post
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}    29,268
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.Friday}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:Weekly}{p_end}
{p2colreset}{...}

{res}{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}      dy/dx{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.Friday               {col 25}{txt}{c |}  (base outcome)
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.Friday                {txt}{c |}
{space 17}Weekly {c |}
Does not Attend Weekly  {c |}{col 25}{res}{space 2} .0032956{col 37}{space 2} .0095406{col 48}{space 1}    0.35{col 57}{space 3}0.730{col 65}{space 4}-.0154045{col 78}{space 3} .0219956
{txt}{space 8}Attends Weekly  {c |}{col 25}{res}{space 2}-.0260475{col 37}{space 2} .0108657{col 48}{space 1}   -2.40{col 57}{space 3}0.017{col 65}{space 4}-.0473448{col 78}{space 3}-.0047501
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 89}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. estimates store B2
{txt}
{com}. 
. *** CONFIDENCE IN CHURCHES 
. reg NotConfidentInChurches i.Friday##i.Weekly i.S003 X025R X003 X001 PrayDaily Unemployed i.S002 if PctMuslim > 0.5 [pweight=S017]
{txt}(sum of wgt is 29,078.5839337583)

Linear regression                               Number of obs     = {res}    28,870
                                                {txt}F(27, 28842)      =  {res}   301.25
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1391
                                                {txt}Root MSE          =    {res} .39658

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}NotConfidentInC~s{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.Friday {c |}{col 19}{res}{space 2}-.0070357{col 31}{space 2} .0098018{col 42}{space 1}   -0.72{col 51}{space 3}0.473{col 59}{space 4}-.0262477{col 72}{space 3} .0121763
{txt}{space 17} {c |}
{space 11}Weekly {c |}
{space 2}Attends Weekly  {c |}{col 19}{res}{space 2}-.0424865{col 31}{space 2}   .00571{col 42}{space 1}   -7.44{col 51}{space 3}0.000{col 59}{space 4}-.0536785{col 72}{space 3}-.0312946
{txt}{space 17} {c |}
{space 4}Friday#Weekly {c |}
1#Attends Weekly  {c |}{col 19}{res}{space 2}-.0133528{col 31}{space 2} .0134251{col 42}{space 1}   -0.99{col 51}{space 3}0.320{col 59}{space 4}-.0396666{col 72}{space 3}  .012961
{txt}{space 17} {c |}
{space 13}S003 {c |}
{space 2}50. Bangladesh  {c |}{col 19}{res}{space 2}-.4526985{col 31}{space 2}  .021144{col 42}{space 1}  -21.41{col 51}{space 3}0.000{col 59}{space 4}-.4941418{col 72}{space 3}-.4112552
{txt}{space 2}275. Palestine  {c |}{col 19}{res}{space 2}-.1555325{col 31}{space 2} .0239604{col 42}{space 1}   -6.49{col 51}{space 3}0.000{col 59}{space 4} -.202496{col 72}{space 3} -.108569
{txt}{space 2}360. Indonesia  {c |}{col 19}{res}{space 2}-.4037038{col 31}{space 2} .0213212{col 42}{space 1}  -18.93{col 51}{space 3}0.000{col 59}{space 4}-.4454944{col 72}{space 3}-.3619132
{txt}{space 7}364. Iran  {c |}{col 19}{res}{space 2}-.2835126{col 31}{space 2} .0232872{col 42}{space 1}  -12.17{col 51}{space 3}0.000{col 59}{space 4}-.3291566{col 72}{space 3}-.2378686
{txt}{space 7}368. Iraq  {c |}{col 19}{res}{space 2}-.1269239{col 31}{space 2}  .021454{col 42}{space 1}   -5.92{col 51}{space 3}0.000{col 59}{space 4}-.1689747{col 72}{space 3}-.0848732
{txt}{space 1}398. Kazakhstan  {c |}{col 19}{res}{space 2}-.2590938{col 31}{space 2} .0224477{col 42}{space 1}  -11.54{col 51}{space 3}0.000{col 59}{space 4}-.3030923{col 72}{space 3}-.2150952
{txt}{space 5}400. Jordan  {c |}{col 19}{res}{space 2} -.150359{col 31}{space 2} .0250053{col 42}{space 1}   -6.01{col 51}{space 3}0.000{col 59}{space 4}-.1993705{col 72}{space 3}-.1013474
{txt}{space 1}417. Kyrgyzstan  {c |}{col 19}{res}{space 2}-.3391954{col 31}{space 2} .0244702{col 42}{space 1}  -13.86{col 51}{space 3}0.000{col 59}{space 4}-.3871582{col 72}{space 3}-.2912326
{txt}{space 4}422. Lebanon  {c |}{col 19}{res}{space 2} .0346639{col 31}{space 2} .0279274{col 42}{space 1}    1.24{col 51}{space 3}0.215{col 59}{space 4}-.0200751{col 72}{space 3}  .089403
{txt}{space 3}458. Malaysia  {c |}{col 19}{res}{space 2}-.3616046{col 31}{space 2} .0234399{col 42}{space 1}  -15.43{col 51}{space 3}0.000{col 59}{space 4}-.4075478{col 72}{space 3}-.3156614
{txt}{space 4}504. Morocco  {c |}{col 19}{res}{space 2}-.3017779{col 31}{space 2} .0214335{col 42}{space 1}  -14.08{col 51}{space 3}0.000{col 59}{space 4}-.3437885{col 72}{space 3}-.2597674
{txt}{space 1}762. Tajikistan  {c |}{col 19}{res}{space 2}-.3138686{col 31}{space 2} .0237637{col 42}{space 1}  -13.21{col 51}{space 3}0.000{col 59}{space 4}-.3604465{col 72}{space 3}-.2672907
{txt}{space 4}788. Tunisia  {c |}{col 19}{res}{space 2} .0524014{col 31}{space 2} .0219432{col 42}{space 1}    2.39{col 51}{space 3}0.017{col 59}{space 4} .0093917{col 72}{space 3}  .095411
{txt}{space 5}792. Turkey  {c |}{col 19}{res}{space 2}-.2092649{col 31}{space 2} .0207569{col 42}{space 1}  -10.08{col 51}{space 3}0.000{col 59}{space 4}-.2499494{col 72}{space 3}-.1685803
{txt}{space 6}818. Egypt  {c |}{col 19}{res}{space 2}-.1707016{col 31}{space 2} .0249504{col 42}{space 1}   -6.84{col 51}{space 3}0.000{col 59}{space 4}-.2196055{col 72}{space 3}-.1217976
{txt}{space 6}887. Yemen  {c |}{col 19}{res}{space 2}-.2719909{col 31}{space 2} .0226254{col 42}{space 1}  -12.02{col 51}{space 3}0.000{col 59}{space 4}-.3163377{col 72}{space 3}-.2276441
{txt}{space 17} {c |}
{space 12}X025R {c |}{col 19}{res}{space 2}  .041639{col 31}{space 2} .0032911{col 42}{space 1}   12.65{col 51}{space 3}0.000{col 59}{space 4} .0351883{col 72}{space 3} .0480898
{txt}{space 13}X003 {c |}{col 19}{res}{space 2} .0002503{col 31}{space 2} .0001772{col 42}{space 1}    1.41{col 51}{space 3}0.158{col 59}{space 4}-.0000971{col 72}{space 3} .0005977
{txt}{space 13}X001 {c |}{col 19}{res}{space 2}-.0301186{col 31}{space 2} .0050564{col 42}{space 1}   -5.96{col 51}{space 3}0.000{col 59}{space 4}-.0400294{col 72}{space 3}-.0202079
{txt}{space 8}PrayDaily {c |}{col 19}{res}{space 2}-.0876602{col 31}{space 2} .0067376{col 42}{space 1}  -13.01{col 51}{space 3}0.000{col 59}{space 4}-.1008662{col 72}{space 3}-.0744541
{txt}{space 7}Unemployed {c |}{col 19}{res}{space 2} .0218109{col 31}{space 2} .0097516{col 42}{space 1}    2.24{col 51}{space 3}0.025{col 59}{space 4} .0026973{col 72}{space 3} .0409245
{txt}{space 17} {c |}
{space 13}S002 {c |}
{space 7}2005-2009  {c |}{col 19}{res}{space 2}-.0429611{col 31}{space 2} .0138983{col 42}{space 1}   -3.09{col 51}{space 3}0.002{col 59}{space 4}-.0702024{col 72}{space 3}-.0157198
{txt}{space 7}2010-2014  {c |}{col 19}{res}{space 2} .0425879{col 31}{space 2} .0113542{col 42}{space 1}    3.75{col 51}{space 3}0.000{col 59}{space 4} .0203331{col 72}{space 3} .0648427
{txt}{space 7}2017-2020  {c |}{col 19}{res}{space 2} .0571808{col 31}{space 2} .0091913{col 42}{space 1}    6.22{col 51}{space 3}0.000{col 59}{space 4} .0391654{col 72}{space 3} .0751961
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}  .452357{col 31}{space 2} .0272874{col 42}{space 1}   16.58{col 51}{space 3}0.000{col 59}{space 4} .3988724{col 72}{space 3} .5058415
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, dydx(Friday) over(Weekly) post
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}    28,870
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.Friday}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:Weekly}{p_end}
{p2colreset}{...}

{res}{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}      dy/dx{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.Friday               {col 25}{txt}{c |}  (base outcome)
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.Friday                {txt}{c |}
{space 17}Weekly {c |}
Does not Attend Weekly  {c |}{col 25}{res}{space 2}-.0070357{col 37}{space 2} .0098018{col 48}{space 1}   -0.72{col 57}{space 3}0.473{col 65}{space 4}-.0262477{col 78}{space 3} .0121763
{txt}{space 8}Attends Weekly  {c |}{col 25}{res}{space 2}-.0203885{col 37}{space 2} .0092457{col 48}{space 1}   -2.21{col 57}{space 3}0.027{col 65}{space 4}-.0385104{col 78}{space 3}-.0022666
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 89}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. estimates store C2
{txt}
{com}. 
. *** ONLY ACCEPTABLE RELIGION 
. reg OtherReligionsAcceptable i.Friday##i.Weekly i.S003 X025R X003 X001 PrayDaily Unemployed i.S002 if PctMuslim > 0.5 [pweight=S017] 
{txt}(sum of wgt is 23,920.9586698526)

Linear regression                               Number of obs     = {res}    23,726
                                                {txt}F(24, 23701)      =  {res}   122.65
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1230
                                                {txt}Root MSE          =    {res} .36059

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}OtherReligionsA~e{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.Friday {c |}{col 19}{res}{space 2} .0286792{col 31}{space 2} .0108417{col 42}{space 1}    2.65{col 51}{space 3}0.008{col 59}{space 4} .0074288{col 72}{space 3} .0499295
{txt}{space 17} {c |}
{space 11}Weekly {c |}
{space 2}Attends Weekly  {c |}{col 19}{res}{space 2}-.0485256{col 31}{space 2} .0060084{col 42}{space 1}   -8.08{col 51}{space 3}0.000{col 59}{space 4}-.0603025{col 72}{space 3}-.0367488
{txt}{space 17} {c |}
{space 4}Friday#Weekly {c |}
1#Attends Weekly  {c |}{col 19}{res}{space 2}-.0471807{col 31}{space 2} .0142083{col 42}{space 1}   -3.32{col 51}{space 3}0.001{col 59}{space 4}-.0750298{col 72}{space 3}-.0193315
{txt}{space 17} {c |}
{space 13}S003 {c |}
{space 2}50. Bangladesh  {c |}{col 19}{res}{space 2}-.1842529{col 31}{space 2} .0187991{col 42}{space 1}   -9.80{col 51}{space 3}0.000{col 59}{space 4}-.2211005{col 72}{space 3}-.1474054
{txt}{space 2}275. Palestine  {c |}{col 19}{res}{space 2}-.0660598{col 31}{space 2} .0188082{col 42}{space 1}   -3.51{col 51}{space 3}0.000{col 59}{space 4}-.1029251{col 72}{space 3}-.0291946
{txt}{space 2}360. Indonesia  {c |}{col 19}{res}{space 2}-.0550569{col 31}{space 2} .0199223{col 42}{space 1}   -2.76{col 51}{space 3}0.006{col 59}{space 4}-.0941059{col 72}{space 3}-.0160079
{txt}{space 7}364. Iran  {c |}{col 19}{res}{space 2} .0663268{col 31}{space 2} .0214344{col 42}{space 1}    3.09{col 51}{space 3}0.002{col 59}{space 4} .0243141{col 72}{space 3} .1083396
{txt}{space 7}368. Iraq  {c |}{col 19}{res}{space 2}  .017861{col 31}{space 2} .0185707{col 42}{space 1}    0.96{col 51}{space 3}0.336{col 59}{space 4}-.0185388{col 72}{space 3} .0542609
{txt}{space 1}398. Kazakhstan  {c |}{col 19}{res}{space 2} .2198644{col 31}{space 2} .0210198{col 42}{space 1}   10.46{col 51}{space 3}0.000{col 59}{space 4} .1786643{col 72}{space 3} .2610646
{txt}{space 5}400. Jordan  {c |}{col 19}{res}{space 2}-.1428453{col 31}{space 2} .0192952{col 42}{space 1}   -7.40{col 51}{space 3}0.000{col 59}{space 4} -.180665{col 72}{space 3}-.1050255
{txt}{space 1}417. Kyrgyzstan  {c |}{col 19}{res}{space 2}-.1171674{col 31}{space 2} .0212614{col 42}{space 1}   -5.51{col 51}{space 3}0.000{col 59}{space 4}-.1588411{col 72}{space 3}-.0754936
{txt}{space 4}422. Lebanon  {c |}{col 19}{res}{space 2} .2920765{col 31}{space 2} .0258132{col 42}{space 1}   11.31{col 51}{space 3}0.000{col 59}{space 4} .2414809{col 72}{space 3} .3426721
{txt}{space 3}458. Malaysia  {c |}{col 19}{res}{space 2}-.0507562{col 31}{space 2} .0222097{col 42}{space 1}   -2.29{col 51}{space 3}0.022{col 59}{space 4}-.0942886{col 72}{space 3}-.0072239
{txt}{space 4}504. Morocco  {c |}{col 19}{res}{space 2}-.0255515{col 31}{space 2} .0190548{col 42}{space 1}   -1.34{col 51}{space 3}0.180{col 59}{space 4}-.0629001{col 72}{space 3} .0117972
{txt}{space 1}762. Tajikistan  {c |}{col 19}{res}{space 2}-.0389552{col 31}{space 2}  .021306{col 42}{space 1}   -1.83{col 51}{space 3}0.068{col 59}{space 4}-.0807164{col 72}{space 3}  .002806
{txt}{space 4}788. Tunisia  {c |}{col 19}{res}{space 2}-.0529843{col 31}{space 2} .0178669{col 42}{space 1}   -2.97{col 51}{space 3}0.003{col 59}{space 4}-.0880045{col 72}{space 3}-.0179641
{txt}{space 5}792. Turkey  {c |}{col 19}{res}{space 2} -.023956{col 31}{space 2} .0179545{col 42}{space 1}   -1.33{col 51}{space 3}0.182{col 59}{space 4}-.0591479{col 72}{space 3}  .011236
{txt}{space 6}887. Yemen  {c |}{col 19}{res}{space 2}-.1039926{col 31}{space 2} .0183359{col 42}{space 1}   -5.67{col 51}{space 3}0.000{col 59}{space 4}-.1399322{col 72}{space 3} -.068053
{txt}{space 17} {c |}
{space 12}X025R {c |}{col 19}{res}{space 2} .0370773{col 31}{space 2} .0035249{col 42}{space 1}   10.52{col 51}{space 3}0.000{col 59}{space 4} .0301683{col 72}{space 3} .0439862
{txt}{space 13}X003 {c |}{col 19}{res}{space 2} .0001405{col 31}{space 2} .0001773{col 42}{space 1}    0.79{col 51}{space 3}0.428{col 59}{space 4} -.000207{col 72}{space 3}  .000488
{txt}{space 13}X001 {c |}{col 19}{res}{space 2}-.0184943{col 31}{space 2}  .005346{col 42}{space 1}   -3.46{col 51}{space 3}0.001{col 59}{space 4}-.0289728{col 72}{space 3}-.0080159
{txt}{space 8}PrayDaily {c |}{col 19}{res}{space 2}-.0956507{col 31}{space 2} .0064343{col 42}{space 1}  -14.87{col 51}{space 3}0.000{col 59}{space 4}-.1082624{col 72}{space 3} -.083039
{txt}{space 7}Unemployed {c |}{col 19}{res}{space 2}-.0003037{col 31}{space 2} .0091866{col 42}{space 1}   -0.03{col 51}{space 3}0.974{col 59}{space 4}  -.01831{col 72}{space 3} .0177027
{txt}{space 17} {c |}
{space 13}S002 {c |}
{space 7}2017-2020  {c |}{col 19}{res}{space 2}  .043292{col 31}{space 2}  .008053{col 42}{space 1}    5.38{col 51}{space 3}0.000{col 59}{space 4} .0275076{col 72}{space 3} .0590763
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} .2119631{col 31}{space 2}   .02204{col 42}{space 1}    9.62{col 51}{space 3}0.000{col 59}{space 4} .1687633{col 72}{space 3} .2551628
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, dydx(Friday) over(Weekly) post
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}    23,726
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.Friday}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:over}:{space 1}{res:Weekly}{p_end}
{p2colreset}{...}

{res}{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}      dy/dx{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.Friday               {col 25}{txt}{c |}  (base outcome)
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.Friday                {txt}{c |}
{space 17}Weekly {c |}
Does not Attend Weekly  {c |}{col 25}{res}{space 2} .0286792{col 37}{space 2} .0108417{col 48}{space 1}    2.65{col 57}{space 3}0.008{col 65}{space 4} .0074288{col 78}{space 3} .0499295
{txt}{space 8}Attends Weekly  {c |}{col 25}{res}{space 2}-.0185015{col 37}{space 2} .0092797{col 48}{space 1}   -1.99{col 57}{space 3}0.046{col 65}{space 4}-.0366903{col 78}{space 3}-.0003127
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 89}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. estimates store D2
{txt}
{com}. 
. coefplot A2 B2 C2 D2, bylabel(Muslim Countries) || A B C D, bylabel(Non-Muslim Countries) ||, xline(0) scheme(s1mono) graphregion(color(white)) bgcolor(white) plotlabels("Trust other religions" "Child faith not important" "Not confident in religious institutions" "Other religions acceptable") levels(95 90) xtitle(Marginal Effect of Friday Interview)  legend(cols(1))
{res}{txt}
{com}. 
.  
. 
{txt}end of do-file

{com}. exit, clear
